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#

model-selection

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Here are 857 public repositories matching this topic...

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EpistasisLab / tpot

Star 10.1k

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
  • Updated Sep 11, 2025
  • Jupyter Notebook
yellowbrick

DistrictDataLabs / yellowbrick

Star 4.4k

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
  • Updated Feb 19, 2025
  • Python

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

Star 2.4k

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
  • Updated Aug 27, 2022
  • Jupyter Notebook
CV-pretrained-model

balavenkatesh3322 / CV-pretrained-model

Star 1.4k

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
  • Updated Mar 3, 2021

DeepWisdom / AutoDL

Star 1.2k

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
  • Updated Sep 23, 2022
  • Python

smartcorelib / smartcore

Star 978

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
  • Updated Nov 11, 2026
  • Rust

sberbank-ai-lab / LightAutoML

Star 919

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
  • Updated Apr 14, 2022
  • Python
evalml

alteryx / evalml

Star 853

EvalML is an AutoML library written in python.

data-science machine-learning optimization feature-selection model-selection feature-engineering hyperparameter-tuning automl
  • Updated Jan 14, 2026
  • Python

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

Star 629

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
  • Updated May 14, 2024
  • Jupyter Notebook

cerlymarco / shap-hypetune

Star 586

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
  • Updated Jun 8, 2024
  • Jupyter Notebook
Hyperactive

hyperactive-project / Hyperactive

Star 552

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
  • Updated Nov 2, 2026
  • Python
facet

BCG-X-Official / facet

Star 534

Human-explainable AI.

python data-science machine-learning statistics simulation model-selection data-analytics hyperparameter-tuning interpretability explainable-ai shap-vector-decomposition
  • Updated Oct 28, 2026
  • Jupyter Notebook

joshspeagle / dynesty

Star 426

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

monte-carlo model-selection mit-license bayesian-inference pure-python nested-sampling
  • Updated Nov 10, 2026
  • Python

yzkang / My-Data-Competition-Experience

Star 398

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
  • Updated Mar 16, 2021
  • Python

OnlyTerp / openclaw-optimization-guide

Star 395

Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.

tutorial optimization guide best-practices orchestration gemini model-selection memory-management claude ai-assistant ai-agent llm openrouter ollama context-window prompt-optimization tavily context-engineering sub-agents openclaw
  • Updated Jul 1, 2026
  • JavaScript

rodrigo-arenas / Sklearn-genetic-opt

Sponsor
Star 393

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

python machine-learning scikit-learn sklearn cross-validation feature-selection artificial-intelligence model-selection hyperparameter-optimization evolutionary-algorithms feature-engineering grid-search automl mlops model-optimization
  • Updated Nov 11, 2026
  • Python

cabbagecabbage / chatgpt-plus-codex-cn-guide

Star 296

2026.11.9 更新:ChatGPT Plus 国内订阅教程,涵盖 Gmail 注册、美区 Apple ID 礼品卡充值、Codex 手机号验证与二次验证、接码、CC Switch、中转、性价比对比,以及模型与推理强度选择。

model-selection openai chinese codex sms-verification model-comparison gift-card apple-id chatgpt-plus chatgpt-guide cc-switch reasoning-effort
  • Updated Nov 11, 2026

GenseeAI / cognify

Star 279

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
  • Updated May 16, 2025
  • Python

WenjieZ / TSCV

Star 258

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

data-science machine-learning time-series cross-validation model-selection hyperparameter-optimization tuning-parameters backtesting
  • Updated Jan 23, 2023
  • Python

EpistasisLab / tpot2

Star 249

⚠️ DEPRECATED. The work in this repository was merged into the main TPOT project as version 1.0. Please visit the active repository here: https://github.com/EpistasisLab/tpot/tree/main 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
  • Updated Feb 4, 2025
  • Jupyter Notebook

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