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Projects in Awesome Lists tagged with hyperparameter-optimization

A curated list of projects in awesome lists tagged with hyperparameter-optimization .

https://github.com/lemniscate-world/neural

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

automation data-science data-visualization diagrams dsl hyperparameter-optimization lark llms machine-learning neural-architecture-search neural-networks neural-networks-and-deep-learning neural-networks-from-scratch nocode onnx pytorch tensorflow visual-programming-language visualization

Last synced: 11 Apr 2025

https://github.com/axect/pytorch_template

A flexible PyTorch template for ML experiments with configuration management, logging, and hyperparameter optimization.

configuration-management deep-learning experiment-management hyperparameter-optimization machine-learning optuna python pytorch template wandb

Last synced: 13 Apr 2025

https://github.com/erikgartner/hyperdock

A distributed hyperparameter optimizer for machine learning that lives in Docker

docker hyperparameter-optimization machine-learning

Last synced: 28 Apr 2025

https://github.com/sooperset/boss

Bayesian Optimization Meets Self-Distillation, ICCV 2023

computer-vision deep-learning hyperparameter-optimization iccv2023 self-distillation

Last synced: 18 Jul 2025

https://github.com/lai-bluejay/diego

Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).

automl autosklearn bayesian-optimization generation-algorithms hyperparameter-optimization machine-learning scikit-learn

Last synced: 13 Apr 2025

https://github.com/coac/gpyopt-ml-agents

Gaussian process optimization using GPyOpt for Unity ML-Agents Toolkit

gaussian-processes gpyopt hyperparameter-optimization ml-agents reinforcement-learning unity3d

Last synced: 28 Jul 2025

https://github.com/marcelovca90/auto-ml-evaluation

Code of the article "A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification".

automl classification hyperparameter-optimization machine-learning neural-architecture-search

Last synced: 03 Apr 2026

https://github.com/sayamalt/company-bankruptcy-prediction

Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.

binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization docker-container exploratory-data-analysis feature-engineering github-actions hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation

Last synced: 31 Aug 2025

https://github.com/adesoji1/food-image-classification

Food Image Classification using TensorFlow: A deep learning model to classify various food items using TensorFlow and CNNs.

colab-notebook hyperparameter-optimization hyperparameter-tuning keras-tensorflow matplotlib-pyplot numpy pandas pillow python3 pytorch regularization tensorflow transfer-learning transformer

Last synced: 15 Oct 2025

https://github.com/mbway/turbo

Bayesian optimisation for global black box function optimisation

bayesian-optimization gaussian-processes hyperparameter-optimization optimization

Last synced: 09 May 2025

https://github.com/incalia/schedy-client

All your Data Science Experiments in one place

deep-learning hyperparameter-optimization machine-learning

Last synced: 14 Jan 2026

https://github.com/klieret/ray-tune-slurm-demo

Testing ray tune with slurm batch submission and optuna and wandb

hyperparameter-optimization hyperparameter-tuning ml optuna ray slurm wandb

Last synced: 29 Apr 2025

https://github.com/kapsner/mlexperiments

An extensible framework for reproducible machine learning experiments

cross-validation experiment hyperparameter-optimization hyperparameter-tuning machine-learning nested r r-package

Last synced: 04 May 2025

https://github.com/bhattbhavesh91/svm-c-gamma-hyperparameters-tutorial

In this video, I'll try to explain the hyperparameters C & Gamma in Support Vector Machine (SVM) in the simplest possible way.

hyperparameter-optimization hyperparameters svm svm-classifier svm-hyperparameters svm-kernel svm-model video

Last synced: 03 Aug 2025

https://github.com/ahmedshahriar/customer-churn-prediction

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

binary-classification catboost classification-models customer-churn-prediction ensemble-classifier hyperparameter-optimization kaggle lightgbm optuna pandas-python scipy stacking-ensemble xgboost

Last synced: 27 Sep 2025

https://github.com/stefan-schroedl/molecule_classification

"Auto-sklearn for chemistry" - train and run machine-learned classifiers for molecular classification tasks.

automatic automl cheminformatics chemistry chemoinformatics hyperparameter-optimization machine-learning molecule python rdkit scikit-learn

Last synced: 25 Sep 2025

https://github.com/decathlon/decavision

Python package to help train image classification deep neural networks for generic datasets. Especially powerful when using with TPUs. The main advantages of the package is that is leverages the tfrecords format for the data along with transfer learning and hyperparameter optimization for model training.

deep-learning hyperparameter-optimization image-classification keras-tensorflow tfrecord transfer-learning

Last synced: 25 Apr 2025

https://github.com/nafisalawalidris/predicting-credit-card-approvals

Explore credit card approval prediction through data analysis and machine learning. Preprocess data, train logistic regression models, and optimize hyperparameters. Learn data preprocessing, feature engineering, model training, and evaluation. Dive into the world of machine learning with Python and popular libraries.

approval-prediction credit-card data-analysis data-preprocessing feature-engineering hyperparameter-optimization libraries logistic-regression machine-learning model-evaluation model-training python python3

Last synced: 19 Apr 2025

https://github.com/sushant1827/traffic-forecasting-using-iot-sensor-data

Demonstrates how to utilize XGBoost for traffic forecasting using data gathered from IoT sensors, highlighting its efficiency in processing complex datasets and delivering accurate predictions.

data-analysis data-visualization exploratory-data-analysis feature-engineering feature-importance feature-selection gridsearchcv hyperparameter-optimization hyperparameter-tuning iot random-search xgboost-regression

Last synced: 08 Mar 2026

https://github.com/pabannier/automatic_hp_selection_for_meg

Automatic hyperparameter selection for Lasso-like models solving the M/EEG source localization problem

hyperparameter-optimization machine-learning neuroscience sparse-regression

Last synced: 15 Feb 2026

https://github.com/ajinkyat/ga_ann

Optimising ANN architecture using genetic algorithm.

genetic-algorithm hyperparameter-optimization neural-network

Last synced: 15 Apr 2025

https://github.com/eren23/crucible

Autonomous ML research on rental GPUs — LLM-driven hypothesis generation and fleet orchestration on RunPod

ai-scientist autonomous-research experiment-automation gpu hyperparameter-optimization llm machine-learning mlops python runpod

Last synced: 04 Apr 2026

https://github.com/sushantdhumak/traffic-forecasting-using-iot-sensor-data

Demonstrates how to utilize XGBoost for traffic forecasting using data gathered from IoT sensors, highlighting its efficiency in processing complex datasets and delivering accurate predictions.

data-analysis data-visualization exploratory-data-analysis feature-engineering feature-importance feature-selection gridsearchcv hyperparameter-optimization hyperparameter-tuning iot random-search xgboost-regression

Last synced: 26 Mar 2025

https://github.com/qetdr/xautoml-project2

Explainable Automated Machine Learning Framework for Predicting the Risk of Major Adverse Cardiac Event (MACE)

auto-sklearn explainable-ml hyperparameter-optimization tpot tpot-automl

Last synced: 17 Aug 2025

https://github.com/antoineprv/hypernn

Academic project to optimize neural network hyper parameters.

hyperparameter-optimization neural-network

Last synced: 11 Sep 2025

https://github.com/tkusmierczyk/bayesian_hyperparameters_matching

Learning hyperparameters in Bayesian models by matching moments of prior predictive distributions.

bayesian-models hyperparameter-optimization machine-learning poisson-matrix-factorization tensorflow-experiments

Last synced: 19 Feb 2026

https://github.com/borjaest/gevopy

Genetics for Evolutionary Algorithms in Python

evolutionary-algorithms genetic-algorithm hyperparameter-optimization numpy

Last synced: 06 Mar 2026

https://github.com/simonblanke/progressboard

Add on for Hyperactive package to visualize progress of optimization run.

dashboard hyperactive hyperparameter-optimization panel visualization

Last synced: 13 May 2026

https://github.com/kaito47802/condped-anova

[KDD '26] Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces

ai artificial-intelligence automatic-machine-learning automl hyperparameter-optimization hyperparameter-tuning machine-learning

Last synced: 16 May 2026

https://github.com/touradbaba/deep-learning-specialization-coursera

This repository contains programming assignments for the Deep Learning Specialization by deeplearning.AI. It includes Jupyter Notebooks for exercises in neural networks, hyperparameter tuning, convolutional networks, and sequence models.

andrew-ng andrew-ng-course backpropagation cnn computer-vision convolutional-neural-networks coursera deep-learning deeplearning-ai face-recognition hyperparameter-optimization hyperparameter-tuning keras natural-language-processing neural-network neural-networks object-detection recurrent-neural-networks rnn tensorflow

Last synced: 01 May 2025

https://github.com/krisharul26/defect-detection-in-air-pressure-system-aps-of-a-truck-using-ml

The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.

confusion-matrix f1-score gridsearchcv hyperparameter-optimization knn-classification roc sampling-methods svm-classifier

Last synced: 10 Jun 2026

https://github.com/darenr/optuna-lgb

Example using Optuna to tune hyper parameters for LightGBM

hyperparameter-optimization hyperparameter-tuning lightgbm lightgbm-classifier

Last synced: 30 Mar 2025

https://github.com/slewie/hyponic

HypONIC is a hyperparameter optimization library that uses various nature inspired computing algorithms to optimize the hyperparameters of machine learning models. The library provides a simple interface for sklearn and keras models.

genetic-algorithm hyperparameter-optimization metrics nature-inspired-algorithms sklearn swarm-intelligence

Last synced: 18 Mar 2025

https://github.com/rgmantovani/decisiontreetuninganalysis

Hyperparameter tuning analysis based on HpTuning project results.

decision-trees hyperparameter-importance hyperparameter-optimization machine-learning

Last synced: 16 Feb 2026

https://github.com/rakibhhridoy/webappclassifierstreamlit-python

Machine Learning Training and Testing in Web App. It provide good learning interface for experimenting with different hyper parameter tuning and compare different algorithms with each other without writing code repeatedly.

classification hyperparameter-optimization hyperparameter-tuning logistic-regression machine-learning python random-forest streamlit support-vector-machines svm-classifier webapp

Last synced: 01 May 2026

https://github.com/moshesipper/high-per-parameter

A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms

hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms meachinelearning python

Last synced: 18 Apr 2026

https://github.com/mohd-faizy/hyperparameter-tuning-with-microsoft-network-intelligence-toolkit-nni

Hyperparameter Tuning with Microsoft NNI to automated machine learning (AutoML) experiments. The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.

automl feature-engineering hyperparameter-optimization hyperparameter-tuning microsoft-nni model-compression neural-architecture-search neural-network-intelligence nni nnictl

Last synced: 23 Jul 2025

https://github.com/owenodriscoll/automl

Python package for automated hyperparameter-optimization of common machine-learning algorithms

automl catboost classification hyperparameter-optimization lightgbm machine-learning optuna regression scikit-learn xgboost

Last synced: 16 Mar 2025

https://github.com/bhattbhavesh91/tpot-tutorial

TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. In this video, I'll show you how you can use TPOT for Classification.

automation automl data-science hyperparameter-optimization machine-learning pipeline-optimization python tpot tree video

Last synced: 14 Apr 2026

https://github.com/brenofariasdasilva/ddos-detector

A Framework for DDoS Attack Detection Using Hyperparameter Optimization, WGAN-GP–Based Data Augmentation, Feature Extraction via Genetic Algorithms, RFE, and PCA, with Individual and Ensemble Classifiers for Multi-Dataset Evaluation.

cicddos2019 cicids2017 data-augmentation dataset-compatibility dataset-conversion ddos ddos-detection drdos feature-selection gan genetic-algorithm hyperparameter-optimization multi-dataset pca random-forest rfe stacking telegram wgan-gp

Last synced: 20 Apr 2026

https://github.com/eugeniolr/evolml

Compilation of Machine Learning models and tools that use metaheuristic optimization. Every model is implemented as a scikit-learn style model and metaheuristics are implemented in the metaheuristic-designer framework.

clustering feature-selection genetic-algorithm hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms metaheuristics scikit-learn sklearn

Last synced: 17 Mar 2026

https://github.com/andrefcruz/hpt

Hyperparameter tuning with minimal boilerplate

easy-to-use hyperparameter-optimization hyperparameter-tuning machine-learning optuna

Last synced: 21 Aug 2025

https://github.com/sumny/eagga

Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models

automl hpo hyperparameter-optimization hyperparameter-tuning interpretable-machine-learning machine-learning multi-objective multiobjective optimization r r-package tabular-data tuning xai xgboost

Last synced: 08 Apr 2025

https://github.com/abhinavsharma07/fraud_analytics-credit_card_fraud_detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

banking data-analysis decision-trees hyperparameter-optimization machine-learning-algorithms pipelines random-forest-classifier svm-classifier xgboost-classifier

Last synced: 06 Oct 2025

https://github.com/singh-dhruv/data-visualization-with-accuracy-metrics

Welcome to this repository! Here we loaded the iris_dataset , upon training, testing and perform operations on it resulted in beautiful data visualizations along with accuracy metrics. Data Visualization and accuracy metrics are provided for some of the models that are used.

accuracy-metrics data-visualization hyperparameter-optimization knn-model logistic-regression svm-model

Last synced: 02 Jul 2025

https://github.com/lucasc-99/orion.algo.robo

The RoBO Bayesian Optimization Algorithm

hyperparameter-optimization machine-learning

Last synced: 18 Jul 2025

https://github.com/orionw/configtune

An easy way to tune machine learning hyperparameters (especially for those that use a config file)

bayesian-optimization evolutionary-algorithms hyperparameter-optimization machine-learning

Last synced: 14 Jan 2026

https://github.com/rmitsch/tapas

Assisted hyperparameter optimization for t-SNE in a word embedding context.

dimensionality-reduction hyperparameter-optimization t-sne visualization word-embeddings

Last synced: 05 Jul 2025

https://github.com/shilpakancharla/deep-rl-lunar-lander

Using a deep Q-learning network and searching for optimal hyperparameters in order to solve the lunar lander problem provided by OpenAI Gym.

deep-reinforcement-learning hyperparameter-optimization lunar-lander openai-gym openai-gym-environments

Last synced: 13 Apr 2026

https://github.com/sarahloree/project-6---stock-market-news-sentiment-analysis-summarization

This is the sixth and final project I completed as part of the Introduction to Natural Language Processing Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

glove-embeddings gradientboosting hyperparameter-optimization llms naturallanguageprocessing parameter-tuning sentencetransformerembeddings sentiment-analysis sentiment-classification summarization-algorithm word2vec-embeddinngs

Last synced: 19 Oct 2025

https://github.com/atrcheema/hyperopt-examples

Examples describing use of HyperOpt module of ai4water for hyperparameter optimization of machine learning models

hyperparameter-optimization machine-learning

Last synced: 16 Jan 2026

https://github.com/nishatrhythm/machine-learning

A dynamic repository showcasing practical Machine Learning projects, featuring cutting-edge techniques, model training, and hyperparameter optimization for impactful insights.

hyperparameter-optimization machine-learning

Last synced: 06 Mar 2025

https://github.com/juliuspinsker/seasonalcolourclassification

This project implements a 12-class seasonal color analysis classifier specialized for face images, using state-of-the-art models via the timm library. It is an ongoing struggle on finding a model architecture that will fit the Deep Armocromia Dataset and might one day be the basis for a reliable armocromia classification app.

cnn cnn-classification color-classification computer-vision face-image-analysis fashion hyperparameter-optimization seasonal-color-analysis transfer-learning

Last synced: 07 Apr 2025