Projects in Awesome Lists tagged with hyperparameter-tuning
A curated list of projects in awesome lists tagged with hyperparameter-tuning .
https://github.com/microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Last synced: 05 Oct 2025
https://github.com/Microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Last synced: 18 Apr 2025
https://github.com/wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
ai collaboration data-science data-versioning deep-learning experiment-track hyperparameter-optimization hyperparameter-search hyperparameter-tuning jax keras machine-learning ml-platform mlops model-versioning pytorch reinforcement-learning reproducibility tensorflow
Last synced: 05 Feb 2026
https://github.com/skypilot-org/skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
cloud-computing cloud-management cost-management cost-optimization data-science deep-learning distributed-training finops gpu hyperparameter-tuning job-queue job-scheduler llm-serving llm-training machine-learning ml-infrastructure ml-platform multicloud spot-instances tpu
Last synced: 12 May 2025
https://github.com/automl/auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 12 May 2025
https://automl.github.io/auto-sklearn/
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 23 Feb 2025
https://github.com/amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
andrew-ng andrew-ng-course cnns convolutional-neural-network convolutional-neural-networks coursera coursera-assignment coursera-machine-learning coursera-specialization deep-learning hyperparameter-optimization hyperparameter-tuning neural-machine-translation neural-network neural-networks neural-style-transfer recurrent-neural-network recurrent-neural-networks regularization rnns
Last synced: 13 May 2025
https://github.com/determined-ai/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
data-science deep-learning distributed-training hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras kubernetes machine-learning ml-infrastructure ml-platform mlops pytorch tensorflow
Last synced: 14 May 2025
https://github.com/scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
bayesian-optimization bayesopt binder hacktoberfest hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning machine-learning optimization scientific-computing scientific-visualization scikit-learn sequential-recommendation visualization
Last synced: 30 Sep 2025
https://github.com/dlr-rm/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
deep-reinforcement-learning gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning lab openai optimization pybullet pybullet-environments pytorch reinforcement-learning rl robotics sde stable-baselines tuning-hyperparameters
Last synced: 23 Apr 2025
https://github.com/DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
deep-reinforcement-learning gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning lab openai optimization pybullet pybullet-environments pytorch reinforcement-learning rl robotics sde stable-baselines tuning-hyperparameters
Last synced: 01 May 2025
https://github.com/kubeflow/katib
Automated Machine Learning on Kubernetes
ai automl huggingface hyperparameter-tuning jax kubeflow kubernetes llm machine-learning mlops neural-architecture-search pytorch scikit-learn tensorflow
Last synced: 13 May 2025
https://github.com/google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
algorithm bayesian-optimization blackbox-optimization deep-learning distributed-computing distributed-systems evolutionary-algorithms google grpc hyperparameter-optimization hyperparameter-tuning machine-learning open-source optimization tuning tuning-parameters vizier
Last synced: 13 May 2025
https://github.com/liyanghart/hyperparameter-optimization-of-machine-learning-algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters
Last synced: 16 May 2025
https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters
Last synced: 27 Apr 2025
https://github.com/araffin/rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters openai openai-gym optimization pybullet reinforcement-learning rl stable-baselines zoo
Last synced: 08 Apr 2025
https://github.com/automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest
Last synced: 05 Apr 2025
https://github.com/alteryx/evalml
EvalML is an AutoML library written in python.
automl data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-selection optimization
Last synced: 15 May 2025
https://github.com/MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
bayesian-optimization evaluation-metrics hyperparameter-optimization hyperparameter-search hyperparameter-tuning latent-dirichlet-allocation latent-semantic-analysis natural-language-processing neural-topic-models nlp nlp-library nlproc non-negative-matrix-factorization topic-modeling topic-models
Last synced: 03 May 2025
https://github.com/onepanelio/onepanel
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
ai aiops annotation computer-vision deeplearning etl hyperparameter-tuning inference jupyterlab labeling machinelearning mlops pipelines pytorch tensorboard tensorflow training workflows
Last synced: 07 Oct 2025
https://github.com/huntermcgushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 16 May 2025
https://github.com/HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 26 Apr 2025
https://github.com/neuraxio/neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn
Last synced: 07 Oct 2025
https://github.com/Neuraxio/Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn
Last synced: 05 Apr 2025
https://github.com/zygmuntz/hyperband
Tuning hyperparams fast with Hyperband
gradient-boosting gradient-boosting-classifier hyperparameter-optimization hyperparameter-tuning hyperparameters machine-learning
Last synced: 28 Jan 2026
https://github.com/bcg-x-official/facet
Human-explainable AI.
data-analytics data-science explainable-ai hyperparameter-tuning interpretability machine-learning model-selection python shap-vector-decomposition simulation statistics
Last synced: 16 May 2025
https://github.com/agilerl/agilerl
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
agilerl automl deep-learning deep-reinforcement-learning distributed evolutionary-algorithms gym hpo hyperparameter-optimization hyperparameter-tuning machine-learning mlops multi-agent multi-agent-reinforcement-learning pettingzoo python pytorch reinforcement-learning rlops training
Last synced: 16 May 2025
https://github.com/BCG-X-Official/facet
Human-explainable AI.
data-analytics data-science explainable-ai hyperparameter-tuning interpretability machine-learning model-selection python shap-vector-decomposition simulation statistics
Last synced: 08 May 2025
https://github.com/ray-project/tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
automl bayesian-optimization gridsearchcv hyperparameter-tuning scikit-learn
Last synced: 01 Oct 2025
https://github.com/arm-software/mango
Parallel Hyperparameter Tuning in Python
bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters
Last synced: 13 Apr 2025
https://github.com/ARM-software/mango
Parallel Hyperparameter Tuning in Python
bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters
Last synced: 01 May 2025
https://github.com/syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning multi-objective-optimization neural-architecture-search sagemaker
Last synced: 05 Apr 2025
https://github.com/sherpa-ai/sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
bayesian-optimization deep-learning hyperparameter-grid hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras machine-learning machine-learning-library
Last synced: 04 Apr 2025
https://github.com/ibm/lale
Library for Semi-Automated Data Science
artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn
Last synced: 14 May 2025
https://github.com/IBM/lale
Library for Semi-Automated Data Science
artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn
Last synced: 09 May 2025
https://github.com/awslabs/adatune
Gradient based Hyperparameter Tuning library in PyTorch
automl deep-learning hyperparameter-tuning learning-rate-scheduling machine-learning neural-networks pytorch
Last synced: 10 May 2025
https://github.com/awslabs/renate
Library for automatic retraining and continual learning
aws continual-learning hyperparameter-tuning hyperparameters-optimization machine-learning machine-learning-algorithms neural neural-network pytorch pytorch-lightning sagemaker
Last synced: 08 Apr 2025
https://github.com/datacanvasio/hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
autodl automl enas evolutionary-algorithms hyperparameter-optimization hyperparameter-tuning keras mcts monte-carlo-tree-search nas nasnet neural-architecture-search reinforcement-learning
Last synced: 04 Apr 2025
https://github.com/DataCanvasIO/Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
autodl automl enas evolutionary-algorithms hyperparameter-optimization hyperparameter-tuning keras mcts monte-carlo-tree-search nas nasnet neural-architecture-search reinforcement-learning
Last synced: 18 Apr 2025
https://github.com/lettergram/sentence-classification
Sentence Classifications with Neural Networks
cnn fasttext hyperparameter-tuning neural-network rnn sentence-classification
Last synced: 23 Jan 2026
https://github.com/alex-lekov/automl_alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 05 Apr 2025
https://github.com/Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 13 Jul 2025
https://github.com/jsingh811/pyAudioProcessing
Audio feature extraction and classification
audio-data audio-files chroma-features classifier classifier-options classify classify-audio classify-audio-samples feature-extraction gfcc gfcc-extractor gfcc-features hyperparameter-tuning mfcc mfcc-extractor mfcc-features pyaudioprocessing spectral-features wav-files
Last synced: 15 Mar 2025
https://lge-arc-advancedai.github.io/auptimizer/
An automatic ML model optimization tool.
automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks
Last synced: 01 Apr 2025
https://github.com/LGE-ARC-AdvancedAI/auptimizer
An automatic ML model optimization tool.
automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks
Last synced: 08 May 2025
https://github.com/Mattdl/CLsurvey
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
classification-tasks continual-learning deep-learning defy-forgetting elastic-weight-consolidation framework gradient-episodic-memory hat hyperparameter-tuning icarl inaturalist incremental-learning incremental-moment-matching memory-aware-synapses neural-networks packnet synaptic-intelligence tinyimagenet tpami
Last synced: 08 May 2025
https://github.com/mattdl/clsurvey
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
classification-tasks continual-learning deep-learning defy-forgetting elastic-weight-consolidation framework gradient-episodic-memory hat hyperparameter-tuning icarl inaturalist incremental-learning incremental-moment-matching memory-aware-synapses neural-networks packnet synaptic-intelligence tinyimagenet tpami
Last synced: 20 Aug 2025
https://nvidia.github.io/Milano/
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning
Last synced: 18 Nov 2025
https://github.com/NVIDIA/Milano
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning
Last synced: 20 Nov 2025
https://github.com/williamlwj/pyxab
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
algorithm automl bandit-algorithms blackbox-optimization continuous-armed-bandit data-science hyperparameter-optimization hyperparameter-tuning lipschitz-bandit machine-learning machine-learning-algorithms online-learning optimization optimization-algorithms reinforcement-learning x-armed-bandit
Last synced: 11 Sep 2025
https://github.com/guillaume-chevalier/hyperopt-keras-cnn-cifar-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
cnn cnn-keras hyperopt hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters-optimization keras tensorflow
Last synced: 15 Apr 2025
https://github.com/guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
cnn cnn-keras hyperopt hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters-optimization keras tensorflow
Last synced: 21 Nov 2025
https://github.com/logicalclocks/maggy
Distribution transparent Machine Learning experiments on Apache Spark
ablation ablation-studies ablation-study automl blackbox-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning spark
Last synced: 13 Apr 2025
https://github.com/google-research/hyperbo
Pre-trained Gaussian processes for Bayesian optimization
bayesian-methods bayesian-optimization deep-learning hyperparameter-tuning machine-learning
Last synced: 06 Apr 2025
https://github.com/layerai-archive/sdk
Metadata store for Production ML
collaboration data-science data-versioning deep-learning experiment-tracking hyperparameter-optimization hyperparameter-tuning keras machine-learning mlops model-versioning python pytorch reinforcement-learning sklearn tensorflow
Last synced: 30 Sep 2025
https://github.com/gmontamat/gentun
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
convolutional-neural-networks cross-validation distributed-algorithm distributed-genetic-algorithm gene-encoding genetic-algorithm genetic-algorithms grid-search hyperparameter-optimization hyperparameter-tuning keras machine-learning master-worker scikit-learn tensorflow xgboost
Last synced: 15 Apr 2025
https://github.com/klieret/wandb-offline-sync-hook
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
hyperparameter-optimization hyperparameter-tuning machine-learning ray ray-tune wandb weights-and-biases
Last synced: 07 May 2025
https://github.com/evhub/bbopt
Black box hyperparameter optimization made easy.
blackbox-optimization coconut hyperparameter-optimization hyperparameter-tuning python
Last synced: 19 Aug 2025
https://github.com/openmole/mgo
Purely functional genetic algorithms for multi-objective optimisation
functional-programming genetic-algorithm hyperparameter-optimization hyperparameter-tuning hyperparameters optimisation parameter-tuning scala
Last synced: 07 Apr 2025
https://github.com/mlopez-ibanez/irace
Iterated Racing for Automatic Algorithm Configuration
algorithm-configuration hyperparameter-tuning irace optimization-algorithms r r-package
Last synced: 13 Apr 2025
https://github.com/polyaxon/hypertune
A library for performing hyperparameter optimization
data-science deep-learning hyperparameter-optimization hyperparameter-tuning machine-learning mlops numpy scikit-learn workflow
Last synced: 24 Dec 2025
https://github.com/mlr-org/mlr3tuning
Hyperparameter optimization package of the mlr3 ecosystem
bbotk hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 optimization r r-package tune tuning
Last synced: 04 Apr 2025
https://github.com/ahsan-83/deep-learning-specialization-coursera
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
andrew-ng-deep-learning backpropagation convolutional-neural-networks coursera deep-learning face-recognition hyperparameter-tuning mathematical-optimization ml-strategy neural-network object-detection python-programming segmentation tensorflow trasnfer-learning
Last synced: 13 Apr 2025
https://github.com/dc-aichara/DS-ML-Public
Python Scripts and Jupyter Notebooks
bayesian-optimization beautifulsoup bitcoin catboost dash dashboard data-analysis data-mining data-science data-visualisation hyperparameter-tuning hyperparameters-optimization lightgbm machine-learning news plotly python telegram web-scraping xgboost
Last synced: 09 May 2025
https://github.com/packtworkshops/the-deep-learning-with-keras-workshop
An Interactive Approach to Understanding Deep Learning with Keras
artificial-neural-networks classification cross-validation decision-trees hyperparameter-tuning k-means-clustering keras linear-transformation logistic-regression machine-learning magnetic-resonance-imaging model-evaluation model-tuning regression regularization scalars scikit-learn support-vector-machine tensorflow vectors
Last synced: 15 Apr 2025
https://github.com/ytopt-team/ytopt
ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization
asynchronous-and-dynamic-task-management asynchronous-search autotune autotuning bayesian-optimization hyperparameter-optimization hyperparameter-tuning python pytorch tensorflow
Last synced: 21 Oct 2025
https://github.com/YuchenJin/autolrs
Automatic learning-rate scheduler
automl deep-learning hyperparameter-tuning learning-rate-scheduling machine-learning
Last synced: 14 Jul 2025
https://github.com/balavenkatesh3322/hyperparameter_tuning
A collection of Hyper parameter tuning library.
deep-learning hyperparameter-optimization hyperparameter-tuning keras keras-tensorflow machine-learning mxnet neural-network optimization-algorithms pytorch pytorch-implmention tensorflow torchvision
Last synced: 22 Apr 2025
https://github.com/zmyzheng/neural-networks-and-deep-learning
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
adam autonomous-driving batchnorm cnn dropout face-recognition hyperparameter-tuning keras lstm music-generation natural-language-processing neural-style-transfer regularization residual-networks rnn speech-recognition tensorflow translation xavier-he-initialization yolo
Last synced: 07 May 2025
https://github.com/fugue-project/tune
An abstraction layer for parameter tuning
distributed distributed-computing distributed-systems hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning
Last synced: 01 Jul 2025
https://github.com/eagerai/kerastuner
R interface to Keras Tuner
hyperparameter-tuning hypertuning keras keras-tuner r tensorflow trial
Last synced: 07 Jul 2025
https://github.com/helmholtz-ai-energy/propulate
Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
distributed evolutionary-algorithms genetic-algorithm hyperparameter-optimization hyperparameter-tuning optimization parallel parallel-computing python
Last synced: 08 Apr 2025
https://github.com/rick12000/confopt
A Library for Conformal Hyperparameter Tuning
automl conformal-prediction hyperparameter-optimization hyperparameter-tuning inferential-statistics machine-learning predictive-modeling
Last synced: 11 May 2025
https://github.com/determined-ai/determined-examples
Example ML projects that use the Determined library.
deep-learning distributed-training hyperparameter-tuning keras machine-learning ml-infrastructure pytorch tensorflow
Last synced: 30 Apr 2025
https://github.com/machinelearningnuremberg/QuickTune
[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
deep-learning finetuning hyperparameter-tuning model-hub optimization pretrained-models
Last synced: 02 Mar 2025
https://github.com/mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
automl bayesian-optimization bbotk black-box-optimization cran gaussian-process hpo hyperparameter hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 model-based-optimization optimization optimizer r r-package random-forest tuning
Last synced: 12 Oct 2025
https://github.com/medoidai/skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
artificial-intelligence data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-evaluation model-selection model-training model-tuning open-source predictive-modelling python scikit-learn
Last synced: 02 Aug 2025
https://github.com/yard1/hpbandster-sklearn
A scikit-learn wrapper for HpBandSter hyper parameter search.
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning python scikit-learn sklearn
Last synced: 22 Apr 2025
https://github.com/autonomio/studio
GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP
ai artificial-intelligence data-science deep-learning hyperparameter-optimization hyperparameter-tuning keras tensorflow
Last synced: 07 Apr 2025
https://github.com/avacaondata/nlpboost
Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.
deep-learning hyperparameter-optimization hyperparameter-tuning natural-language-generation natural-language-processing natural-language-understanding nlp pytorch text-classification text-generation
Last synced: 26 Oct 2025
https://github.com/xaheli/predicting-indian-stocks-price-with-stacked-lstm
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
activation-functions hidden-layers hyperparameter-optimization hyperparameter-tuning indian-stock-market lstm lstm-neural-networks machine-learning optimisation stock-price-prediction
Last synced: 12 Jul 2025
https://github.com/mlr-org/bbotk
Black-box optimization framework for R.
bbotk black-box-optimization data-science hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 optimization r r-package
Last synced: 06 Apr 2025
https://github.com/mlr-org/mlr3hyperband
Successive Halving and Hyperband in the mlr3 ecosystem
automl bbotk hyperband hyperparameter-tuning machine-learning mlr3 optimization r tune tuning
Last synced: 26 Jun 2025
https://github.com/saattrupdan/naturalselection
A general-purpose pythonic genetic algorithm.
genetic-algorithm hyperparameter-optimization hyperparameter-tuning neural-network pythonic
Last synced: 11 Jul 2025
https://github.com/matlab-deep-learning/hyperparameter-tuning-in-matlab-using-experiment-manager-and-tensorflow
This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.
co-execution deep-learning example hyperparameter-tuning matlab model-training python tensorflow
Last synced: 07 May 2025
https://github.com/holgern/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
binder hyperparameter-optimization hyperparameter-search hyperparameter-tuning maschine-learning optimization scientific-visualization scikit-learn sequential-recommendation visualization
Last synced: 24 Oct 2025
https://github.com/hyeonsangjeon/hyperparameters-optimization
Hyperparameters-Optimization
bayesian-optimization bayessearchcv fmin grid-search gridsearchcv hpo hyperband hyperbandsearchcv hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning optimization random-search randomsearchcv tpe tree-of-parzen-estimator tree-structured
Last synced: 22 Apr 2025
https://github.com/d-krupke/cpsat-autotune
WIP: Tune the hyperparameters of Google's OR-Tools' CP-SAT solver for specific models
cp-sat hyperparameter-tuning optuna ortools
Last synced: 07 May 2025
https://github.com/ahundt/sharpdarts
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
architecture-search cifar10 computer-vision cosine-annealing cosine-power-annealing deep-learning differentiable-hyperparamter-search hyperparameter-optimization hyperparameter-search hyperparameter-tuning imagenet learning-rate learning-rate-scheduling nas neural-architecture-search neural-networks power-cosine-annealing pytorch sota state-of-the-art
Last synced: 12 Jul 2025
https://github.com/davidenunes/exp
python experiment management toolset
cli configuration-files design-of-experiments grid-search hyperparameter-optimization hyperparameter-tuning matplotlib multiprocessing optimization parallel-processing parameter-space
Last synced: 16 May 2025
https://github.com/mohammadreza-mohammadi94/data-analysis-and-machine-learning-projects
A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. Dive in to explore code examples, analyses, and machine learning workflows.
data-analysis data-science dataframes deep-learning exploratory-data-analysis hyperparameter-tuning machine-learning machine-learning-algorithms pandas python scikit-learn visualization
Last synced: 06 Oct 2025
https://github.com/chaitanyac22/deep-rl-project---maximize-total-profits-earned-by-cab-driver
The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.
actions convergence data-visualization deep-reinforcement-learning dqn epsilon-decay epsilon-greedy hyperparameter-tuning markov-decision-process mdp-framework minibatch-gradient-descent model-building model-evaluation optimal-policy prediction q-values-tracking rewards rl states training-dqn-agent
Last synced: 16 Oct 2025
https://github.com/mlr-org/mlr3tuningspaces
Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem
automl hyperparameter-tuning machine-learning mlr3 r r-package tune tuning
Last synced: 20 Jul 2025
https://github.com/telekom/mltb2
Machine Learning Toolbox 2
ai azure deep-learning hyperparameter-optimization hyperparameter-tuning large-language-models llm machine-learning ml natural-language-processing nlp openai optuna plot transformers
Last synced: 26 Jul 2025
https://github.com/nesl/neurosymbolic-tinyml
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
adversarial-machine-learning ai automl bayesian constrained-optimization deep-learning edgeml feature-selection hyperparameter-tuning kalman-filter machine-learning microcontroller mlperf-inference neural-architecture-search neural-network neurosymbolic physics-aware-ml tensorflow-lite-micro tinyml
Last synced: 23 Jan 2026
https://github.com/agoda-com/spark-hpopt
Bayesian hyperparamter tuning for Spark MLLib
hyperparameter-optimization hyperparameter-tuning machine-learning mllib model-selection scala spark
Last synced: 08 Apr 2025
https://github.com/Media-Smart/volkstuner
An easy to use hyperparameter tuner
automl hyperparameter-tuning mxnet python pytorch tensortflow
Last synced: 20 Nov 2025
https://github.com/mohamedsebaie/coursera--deep_learning_specialization--by_anderw_ng
Coursera (Deep_Learning_Specialization) By Andrew Ng and offered by deeplearning.ai.**Each of the below Courses Contains Notes, programming assignments, and quizzes.1- Neural Networks and Deep Learning;2- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization; 3- Structuring Machine Learning Projects; 4- Convolutional Neural Networks;5- Sequence Models.
andrew-ng-coursera cnn-classification convolutional-neural-networks coursera coursera-assignment coursera-deep-learning coursera-specialization deep-learning hyperparameter-tuning long-short-term-memory lstm-neural-networks natural-language-processing neural-networks neural-transfer recurrent-neural-networks regularization
Last synced: 10 Jul 2025
https://github.com/okbalefthanded/guesemha
A multiprocess MATLAB toolbox for parallel hyperparamater tuning for Machine Learning applications
cross-validation hyperparameter-tuning matlab parallel-processing
Last synced: 21 Sep 2025
