microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
microsoft / ML-For-Beginners
scikit-learn / scikit-learn
scikit-learn: machine learning in Python
lukasmasuch / best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
microsoft / onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
onnx / onnx
Open standard for machine learning interoperability
ageron / handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
dask / dask
Parallel computing with task scheduling
autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
sktime / sktime
A unified framework for machine learning with time series
flwrlabs / flower
Flower: A Friendly Federated AI Framework
interpretml / interpret
Fit interpretable models. Explain blackbox machine learning.
skorch-dev / skorch
A scikit-learn compatible neural network library that wraps PyTorch
biolab / orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
dusty-nv / jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
astroautomata / PySR
Symbolic Learning in Python and Julia
fnnx-ai / scikit-llm
Seamlessly integrate LLMs into scikit-learn.
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
scikit-learn-contrib / hdbscan
A high performance implementation of HDBSCAN clustering.
skfolio / skfolio
Python library for portfolio optimization built on top of scikit-learn
scikit-learn-contrib / category_encoders
A library of sklearn compatible categorical variable encoders
ageron / handson-mlp
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
ScottfreeLLC / AlphaPy
Python AutoML for Trading Systems and Sports Betting
kubeflow / katib
Automated Machine Learning on Kubernetes
csinva / imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
scikit-learn-contrib / MAPIE
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
combust / mleap
MLeap: Deploy ML Pipelines to Production
skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
MaxHalford / prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
aeon-toolkit / aeon
A toolkit for time series machine learning and deep learning
INRIA / scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
fmind / mlops-python-package
Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
koaning / scikit-lego
Extra blocks for scikit-learn pipelines.
uxlfoundation / scikit-learn-intelex
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
sebp / scikit-survival
Survival analysis built on top of scikit-learn
nok / sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
onnx / onnxmltools
ONNXMLTools enables conversion of models to ONNX
fraunhoferportugal / tsfel
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
SeldonIO / MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
georgedouzas / sports-betting
Collection of sports betting AI tools.
DoubleML / doubleml-for-py
DoubleML - Double Machine Learning in Python
probabl-ai / skore
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
onnx / sklearn-onnx
Convert scikit-learn models and pipelines to ONNX
skops-dev / skops
skops is a Python library helping you share your scikit-learn based models and put them in production
erolilhan / DataForge-Lua
DataPredict ML Library: 100+ Lua Models for Deep Learning and Reinforcement Learning 2026
anshutiwari9917-ui / survival-stat-tuner
7 Days to Die Trainer 2026: Survival Stats and Inventory Editor Guide
humayunkhanytstudio6547 / survival-editor-z
Ultimate 7 Days To Die Survival Stats Editor & Item Modifier 2026
00200200 / repro-lens
Static reproducibility checks, experiment replay, and verification for ML pipelines.
vincenzo-afk / TruthNet
AI-powered fake news detection system with multiple ML models and explainability.
hamza01055 / ml-from-scratch
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.