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: 29 Sep 2024

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: 01 Aug 2024

https://github.com/wandb/wandb

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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: 29 Sep 2024

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: 29 Sep 2024

https://github.com/skypilot-org/skypilot

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with 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: 29 Sep 2024

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: 30 Sep 2024

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: 29 Sep 2024

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: 26 Sep 2024

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: 30 Sep 2024

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: 02 Aug 2024

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: 29 Sep 2024

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: 29 Sep 2024

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 bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperband hyperparameter-optimization hyperparameter-tuning knn machine-learning machine-learning-algorithms optimization particle-swarm-optimization python-examples python-samples random-forest random-search svm tuning-parameters

Last synced: 30 Sep 2024

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 bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperband hyperparameter-optimization hyperparameter-tuning knn machine-learning machine-learning-algorithms optimization particle-swarm-optimization python-examples python-samples random-forest random-search svm tuning-parameters

Last synced: 02 Aug 2024

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: 03 Oct 2024

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: 01 Aug 2024

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: 01 Aug 2024

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: 01 Aug 2024

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 Sep 2024

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: 02 Aug 2024

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: 02 Aug 2024

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: 26 Sep 2024

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: 01 Aug 2024

https://github.com/zygmuntz/hyperband

Tuning hyperparams fast with Hyperband

gradient-boosting gradient-boosting-classifier hyperparameter-optimization hyperparameter-tuning hyperparameters machine-learning

Last synced: 01 Aug 2024

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: 03 Aug 2024

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: 27 Sep 2024

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: 01 Aug 2024

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: 26 Sep 2024

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: 30 Sep 2024

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: 03 Aug 2024

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: 02 Aug 2024

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: 03 Aug 2024

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: 03 Aug 2024

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: 01 Aug 2024

https://github.com/lettergram/sentence-classification

Sentence Classifications with Neural Networks

cnn fasttext hyperparameter-tuning neural-network rnn sentence-classification

Last synced: 05 Aug 2024

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: 26 Sep 2024

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 Aug 2024

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: 30 Jul 2024

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: 03 Aug 2024

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 Aug 2024

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: 03 Aug 2024

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: 26 Sep 2024

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: 30 Sep 2024

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: 30 Sep 2024

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: 04 Aug 2024

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: 26 Sep 2024

https://github.com/mlopez-ibanez/irace

Iterated Racing for Automatic Algorithm Configuration

algorithm-configuration hyperparameter-tuning irace optimization-algorithms r r-package

Last synced: 27 Sep 2024

https://github.com/nomadic-ml/nomadic

Nomadic is an enterprise-grade toolkit for teams to continuously optimize compound AI systems

agents application compound-ai-systems data evaluation fine-tuning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning llms rag

Last synced: 26 Sep 2024

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: 03 Aug 2024

https://github.com/YuchenJin/autolrs

Automatic learning-rate scheduler

automl deep-learning hyperparameter-tuning learning-rate-scheduling machine-learning

Last synced: 05 Aug 2024

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: 03 Aug 2024

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: 02 Oct 2024

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: 27 Sep 2024

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: 26 Sep 2024

https://github.com/chasedehan/diaml

Semi-automated machine learning pipelines

automated-machine-learning data-science hyperparameter-tuning machine-learning modular pipeline sklearn tpot

Last synced: 27 Sep 2024

https://github.com/amritbhanu/LDADE-package

LDADE implementation

differential-evolution hyperparameter-optimization hyperparameter-tuning lda optimization topic-modeling tuning

Last synced: 02 Aug 2024

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: 03 Oct 2024

https://github.com/anuragmishracse/smart_image_classifier

Image Classification library built on top of Keras. Identifies the best set of hyperparameters and train a classification model accordingly, hence, smart.

deep-learning hyperparameter-tuning image-classification keras neural-network tensorflow

Last synced: 30 Sep 2024

https://github.com/martin-stoyanov/hyperparameters-site

hyperparameters is a Javascript library for hyperparameter optimization.

deep-learning grommet hyperparameter-optimization hyperparameter-search hyperparameter-tuning javascript nextjs tensorflowjs tfjs

Last synced: 02 Oct 2024

https://github.com/newronai/newron-sdk

Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.

data-science data-versioning deep-learning experiment-tracking hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras machine-learning ml-platform mlops model-monitoring model-registry model-reproducibility model-versioning python3 pytorch tensorflow

Last synced: 26 Sep 2024

https://github.com/rakiiibul/auto_insurance_fraud

Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.

actuarial-science car-insurance data-mining datascience feature-engineering hyperparameter-tuning insurance-frauds machine-learning outlier-detection r-language rmd

Last synced: 13 Aug 2024

https://github.com/filipspl/optuml

Optuna-optimized ML methods, with scikit-learn like API

hyperparameter-optimization hyperparameter-tuning machine-learning optuna python python-module scikit-learn

Last synced: 29 Sep 2024

https://github.com/shriram-vibhute/house_price_prediction

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn

Last synced: 26 Sep 2024

https://github.com/pankajarm/tabular_ml_toolkit

A helper library to jumpstart your machine learning project based on tabular or structured data.

data-science feature-engineering hyperparameter-tuning machine-learning parallelism python scikit-learn structured-data tabular xgboost

Last synced: 26 Sep 2024

https://github.com/denishlamichhane/7th_sem_project_machine_learning

machine learning project using logistic regresion and random forest with hyper tuned

accuracy css final-year-project html hyperparameter-tuning js loan loan-eligibility loan-prediction logistic-regression lr machine machine-learning random-forest rf website

Last synced: 26 Sep 2024

https://github.com/ai-se/LDA_FFT

LDA, TF-IDF against SVM, RF, DT, FFT (Text Mining)

classification clustering differential-evolution fft genetic-algorithm hyperparameter-optimization hyperparameter-tuning information-retrieval lda optimization sbse software-engineering text-mining topic-modeling tuning

Last synced: 02 Aug 2024

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 26 Sep 2024

https://github.com/sbomsdorf/an-example-of-irace-using-julia-code

An example of how to use irace with Julia on a Windows computer

algorithm-configuration hyperparameter-tuning irace julia julia-language julialang

Last synced: 29 Sep 2024

https://github.com/rohitpawar001/machine_learning

This repository contains all the machine learning algorithms and the ml concepts.

classification hyperparameter-tuning linear-regression logistic-regression machine-learning naive-bayes numpy pandas python regression scikit-learn smote svm

Last synced: 26 Sep 2024

https://github.com/aysh2603/twitter-sentiment-analysis

The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.

hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn

Last synced: 26 Sep 2024

https://github.com/maheera421/heart-disease-diagnosis-model

A machine learning project designed to predict the likelihood of heart disease based on a set of health indicators.

accuracy-score classification-report confusion-matrix estimators exploratory-data-analysis f1-score feature-importance hyperparameter-tuning precision-score random-forest-classifier recall-score roc-curve sklearn train-valid-test visualization

Last synced: 26 Sep 2024

https://github.com/eigenein/rust-hyperopt

Tree-of-Parzen-estimators hyperparameter optimization

hyperopt hyperparameter-optimization hyperparameter-search hyperparameter-tuning kernel-density-estimation machine-learning rust-crate tree-of-parzen-estimator

Last synced: 02 Oct 2024

https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer

Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.

breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm

Last synced: 26 Sep 2024