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model-selection

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EpistasisLab /tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

python data-science machine-learning automation random-forest scikit-learn aiml model-selection hyperparameter-optimization feature-engineering automl gradient-boosting automated-machine-learning parameter-tuning alzheimer alzheimers nia adsp ag066833 u01ag066833

UpdatedSep 11, 2025
Jupyter Notebook

yellowbrick

DistrictDataLabs /yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

visualization python machine-learning anaconda scikit-learn visualizer model-selection estimator visual-analysis matplotlib

UpdatedFeb 19, 2025
Python

rorysroes /SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

python machine-learning trading feature-selection model-selection quant trading-strategies investment market-maker feature-engineering algorithmic-trading backtesting-trading-strategies limit-order-book quantitative-trading orderbook market-microstructure high-frequency-trading market-making orderbook-tick-data

UpdatedAug 27, 2022
Jupyter Notebook

CV-pretrained-model

balavenkatesh3322 /CV-pretrained-model

A collection of computer vision pre-trained models.

data-science image computer-vision deep-learning neural-network mxnet tensorflow model models keras python3 pytorch model-selection image-classification awesome-list object-detection pretrained-models pretrained video-analysis

UpdatedMar 3, 2021

DeepWisdom /AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

python data-science machine-learning big-data ai tensorflow pytorch artificial-intelligence model-selection lightgbm resnet deeplearning feature-engineering nas multi-label automl automated-machine-learning autodl autodl-challenge full-automl

UpdatedSep 23, 2022
Python

sberbank-ai-lab /LightAutoML

LAMA - automatic model creation framework

nlp data-science pipeline whitebox regression pytorch kaggle model-selection classification linear-model feature-engineering blackbox automl stacking gradient-boosting automated-machine-learning parameter-tuning lama multiclass ensembling

UpdatedApr 14, 2022
Python

smartcorelib /smartcore

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

rust machine-learning clustering machine-learning-algorithms statistical-learning regression rust-lang scientific-computing model-selection classification statistical-models

UpdatedFeb 10, 2026
Rust

evalml

alteryx /evalml

EvalML is an AutoML library written in python.

data-science machine-learning optimization feature-selection model-selection feature-engineering hyperparameter-tuning automl

UpdatedJan 14, 2026
Python

Western-OC2-Lab /AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

iot machine-learning deep-learning model-selection data-preprocessing feature-engineering hyperparameter-tuning concept-drift automl intrusion-detection-system automated-machine-learning data-streams python-examples data-stream-processing python-samples iot-data-analytics

UpdatedMay 14, 2024
Jupyter Notebook

cerlymarco /shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

feature-selection model-selection xgboost hyperparameter-optimization lightgbm parameter-tuning shap

UpdatedJun 8, 2024
Jupyter Notebook

Hyperactive

hyperactive-project /Hyperactive

A unified interface for optimization algorithms and experiments

python data-science machine-learning deep-learning optimization scikit-learn parallel-computing keras pytorch model-selection xgboost hyperparameter-optimization feature-engineering bayesian-optimization automated-machine-learning parameter-tuning neural-architecture-search hyperactive

UpdatedFeb 20, 2026
Python

facet

BCG-X-Official /facet

Human-explainable AI.

python data-science machine-learning statistics simulation model-selection data-analytics hyperparameter-tuning interpretability explainable-ai shap-vector-decomposition

UpdatedFeb 10, 2026
Jupyter Notebook

yzkang /My-Data-Competition-Experience

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

python data-science machine-learning sql deep-learning feature-selection kaggle-competition gan model-selection xgboost hyperparameter-optimization lightgbm feature-engineering automl catboost model-fusion tianchi-competition

UpdatedMar 16, 2021
Python

joshspeagle /dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

monte-carlo model-selection mit-license bayesian-inference pure-python nested-sampling

UpdatedNov 29, 2025
Python

rodrigo-arenas /Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

python machine-learning scikit-learn sklearn feature-selection artificial-intelligence hyperparameters model-selection hyperparameter-optimization evolutionary-algorithms help-wanted looking-for-contributors up-for-grabs automl deap contributions-welcome good-first-issue goodfirstissue begginer-friendly featureselection

UpdatedSep 13, 2025
Python

GenseeAI /cognify

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

agent ai optimization model-selection autotuning agents automl dspy prompt-tuning langchain langgraph agentic-workflow

UpdatedMay 16, 2025
Python

WenjieZ /TSCV

Time Series Cross-Validation -- an extension for scikit-learn

data-science machine-learning time-series cross-validation model-selection hyperparameter-optimization tuning-parameters backtesting

UpdatedJan 23, 2023
Python

EpistasisLab /tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

python data-science machine-learning automation random-forest scikit-learn aiml model-selection hyperparameter-optimization feature-engineering automl gradient-boosting automated-machine-learning parameter-tuning alzheimer alzheimers nia adsp ag066833 lm010098

UpdatedFeb 4, 2025
Jupyter Notebook

Alex-Lekov /AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

python data-science machine-learning sklearn cross-validation ml model-selection xgboost hyperparameter-optimization machine-learning-library hyperparameter-tuning optimisation automl stacking auto-ml machine-learning-models automatic-machine-learning data-science-projects stacking-ensemble

UpdatedOct 4, 2023
Python

Cibiv /IQ-TREE

Efficient phylogenomic software by maximum likelihood

phylogenetics model-selection mixture-model maximum-likelihood phylogenomics iq-tree ultrafast-bootstrap

UpdatedNov 4, 2021
C++

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