scikit-learn

ML-For-Beginnersmicrosoft/ML-For-Beginners

A 12-week, 26-lesson curriculum teaching classic machine learning using Scikit-learn through hands-on projects and quizzes.

Python Data Science Handbookjakevdp/PythonDataScienceHandbook

A comprehensive guide to Python's essential data science libraries, available as free Jupyter notebooks.

handsonmlageron/handson-ml

Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.

shapslundberg/shap

A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.

Fashion-MNISTzalandoresearch/fashion-mnist

A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.

Dive into Machine Learninghangtwenty/dive-into-machine-learning

A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.

Dive into Machine Learninghangtwenty/dive-into-machine-learning

A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.

tpotEpistasisLab/tpot

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

TPOTrhiever/tpot

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

PyCaretpycaret/pycaret

An open-source, low-code Python library that automates end-to-end machine learning workflows.

Dartsunit8co/darts

A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.

auto-sklearnautoml/auto-sklearn

An automated machine learning toolkit that serves as a drop-in replacement for scikit-learn estimators.

Introduction to Machine Learning with Pythonamueller/introduction_to_ml_with_python

Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.

InterpretMLinterpretml/interpret

An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.

SurpriseNicolasHug/Surprise

A Python scikit for building and analyzing recommender systems that handle explicit rating data.

DeepChemdeepchem/deepchem

An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.

machine-learning-bookrasbt/machine-learning-book

Code repository for the 'Machine Learning with PyTorch and Scikit-Learn' book, providing practical examples and notebooks.

BioGPTmicrosoft/BioGPT

A domain-specific generative language model pre-trained on biomedical literature for text generation and mining tasks.

yellowbrickDistrictDataLabs/yellowbrick

A suite of visual diagnostic tools that extend scikit-learn to steer machine learning model selection through visualizations.

pattern_classificationrasbt/pattern_classification

A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.

Introduction to machine learning with scikit-learnjustmarkham/scikit-learn-videos

A collection of Jupyter notebooks accompanying a 10-part video series teaching machine learning with Python's scikit-learn library.

LSTM for Human Activity Recognitionguillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

Classification on raw time series in TensorFlow with a LSTM RNNguillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

Ethen's Notebook Collectionethen8181/machine-learning

A comprehensive collection of machine learning tutorials and implementations in Python, covering algorithms from scratch to production deployment.

mljar-supervisedmljar/mljar-supervised

An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.

tslearnrtavenar/tslearn

A Python machine learning toolkit for time series analysis with scikit-learn compatible API.

Auto-PyTorchautoml/Auto-PyTorch

Automatic neural architecture search and hyperparameter optimization for PyTorch, focusing on tabular data and time series forecasting.

scikit-plotreiinakano/scikit-plot

An intuitive Python library that adds single-line plotting functions for scikit-learn and other machine learning objects.

modALcosmic-cortex/modAL

A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.

modALmodAL-python/modAL

A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.

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

A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.

Szilard's machine learning benchmarkszilard/benchm-ml

A minimal benchmark comparing scalability, speed, and accuracy of popular open-source machine learning libraries for binary classification.

NGBooststanfordmlgroup/ngboost

A Python library for probabilistic prediction using natural gradient boosting, built on scikit-learn.

AI Explainability 360IBM/AIX360

An open-source Python toolkit providing a comprehensive collection of algorithms for interpreting and explaining machine learning models and datasets.

SymbolicAIXpitfire/symbolicai

A neuro-symbolic Python framework that combines classical programming with LLMs through composable primitives and design-by-contract validation.

d3rlpytakuseno/d3rlpy

A Python library for offline deep reinforcement learning with support for state-of-the-art algorithms and user-friendly APIs.