Topics / #scikit-learn

Scikit-learn projects on GitHub

Classic machine learning library for Python

As of , the most-starred Scikit-learn projects on GitHub are ML-For-Beginners (91.5K stars), 100-Days-Of-ML-Code (51.9K stars) and PythonDataScienceHandbook (50.2K stars). GitHub.Locker tracks 29 Scikit-learn repositories with 630.6K stars combined. The fastest-growing on October 16 was codex-claude-academic-skills, with +39 stars in a day.

29Projects
630.6KStars in total
+154Stars in a day
Browse in the catalog →github.com/topics/scikit-learn ↗

Hot right now

Most stars gained in a day · Oct 16

+39

codex-claude-academic-skills

zLanqing/codex-claude-academic-skills · ★ 5K

Three Claude Code / Codex Agent Skills built for Chinese academic researchers, covering the full research workflow: research-writing-skill for drafting and polishing papers, office-academic-skill for generating academic Word/PPT documents, and scientific-toolkit-skill for MATLAB/Python scientific computing and publication-quality figures.

+34

ML-For-Beginners

microsoft/ML-For-Beginners · ★ 91.5K

A free 12-week, 26-lesson curriculum from Microsoft that teaches classic machine learning (not deep learning) using Scikit-learn, with each lesson tied to real-world data from different world cultures.

+17

PythonDataScienceHandbook

jakevdp/PythonDataScienceHandbook · ★ 50.2K

This is the full text of the Python Data Science Handbook, provided as a set of free Jupyter notebooks covering the core Python data science stack.

+13

onnxruntime

microsoft/onnxruntime · ★ 22.1K

ONNX Runtime is a cross-platform, high performance ML accelerator for inference and training. It runs models from PyTorch, TensorFlow/Keras and classical ML libraries like scikit-learn, LightGBM and XGBoost.

The all-time top

29 projects · by stars

  1. #1 · microsoft/ML-For-Beginners

    ML-For-Beginners

    A free 12-week, 26-lesson curriculum from Microsoft that teaches classic machine learning (not deep learning) using Scikit-learn, with each lesson tied to real-world data from different world cultures.

    91.5K
  2. #2 · Avik-Jain/100-Days-Of-ML-Code

    100-Days-Of-ML-Code

    This is a personal learning log by Avik Jain documenting 100 days of machine learning coding, following the #100DaysOfMLCode challenge proposed by Siraj Raval. It records daily progress on ML topics with notes, code, and infographics.

    51.9K
  3. #3 · jakevdp/PythonDataScienceHandbook

    PythonDataScienceHandbook

    This is the full text of the Python Data Science Handbook, provided as a set of free Jupyter notebooks covering the core Python data science stack.

    50.2K
  1. 4

    ailearning

    42.6Kapachecn/ailearning · Python

    AiLearning is a Chinese-language, practice-first study guide covering data analysis, machine learning, linear algebra, PyTorch, NLTK, and TensorFlow 2, built mainly around code-along notes for the book 'Machine Learning in Action'.

  2. 5

    handson-ml2

    29.9Kageron/handson-ml2 · Jupyter Notebook

    This is a collection of Jupyter notebooks with the example code and exercise solutions for the second edition of the O'Reilly book 'Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow'.

  3. 6

    data-science-ipython-notebooks

    29.4Kdonnemartin/data-science-ipython-notebooks · Python

    A large curated collection of IPython/Jupyter notebooks covering the Python data science stack: deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, statistics with SciPy, pandas, matplotlib, NumPy, Kaggle competition analyses, big data (Spark, Hadoop MapReduce, HDFS), AWS, and command-line essentials.

  4. 7

    shap

    25.8Kshap/shap · Jupyter Notebook

    SHAP is a Python library that explains the output of any machine learning model using Shapley values from game theory — it tells you how much each feature contributed to a given prediction.

  5. 8

    handson-ml

    25.6Kageron/handson-ml · Jupyter Notebook

    Jupyter notebooks that teach Machine Learning fundamentals in Python: the example code and exercise solutions for the first edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn and TensorFlow'.

  6. 9

    best-of-ml-python

    23.8Klukasmasuch/best-of-ml-python

    A curated, ranked index of top open-source machine learning libraries for Python, covering areas like deep learning, NLP, AutoML and data visualization, generated and refreshed automatically.

  7. 10

    100-Days-Of-ML-Code

    22.2KMLEveryday/100-Days-Of-ML-Code · Python

    The Chinese edition of the 100 Days of ML Code challenge: a day-by-day machine learning learning log with infographics, notes and Python code, spanning supervised and unsupervised learning. It translates the original challenge by Avik-Jain and has gathered 22k+ stars.

  8. 11

    onnxruntime

    22.1Kmicrosoft/onnxruntime · C++

    ONNX Runtime is a cross-platform, high performance ML accelerator for inference and training. It runs models from PyTorch, TensorFlow/Keras and classical ML libraries like scikit-learn, LightGBM and XGBoost.

  9. 12

    onnx

    21.6Konnx/onnx · Python

    ONNX (Open Neural Network Exchange) is an open standard for machine learning interoperability — an open ecosystem and format for AI models, both deep learning and traditional ML.

  10. 13

    cheatsheets-ai

    15.4Kkailashahirwar/cheatsheets-ai

    A curated collection of one-page cheat sheets covering popular machine learning and deep learning tools such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, PySpark, Dask, and R's dplyr/tidyr, aimed at ML and DL researchers.

  11. 14

    Virgilio

    15Kvirgili0/Virgilio · Jupyter Notebook

    A free, open-source initiative that mentors anyone into Data Science: instead of drowning in a chaotic jungle of tutorials, you follow structured learning paths it has put together.

  12. 15

    machine-learning-zoomcamp

    14.8KDataTalksClub/machine-learning-zoomcamp · Jupyter Notebook

    Machine Learning Zoomcamp is a free, hands-on course that teaches you how to build, evaluate, and deploy real machine learning systems, going from a raw problem all the way to a production service.

  13. 16

    nni

    14.4Kmicrosoft/nni · Python

    NNI (Neural Network Intelligence) is Microsoft's open-source AutoML toolkit that automates the machine learning lifecycle: feature engineering, neural architecture search, model compression, and hyperparameter tuning.

  14. 17

    handson-ml3

    14.3Kageron/handson-ml3 · Jupyter Notebook

    A collection of Jupyter notebooks with example code and exercise solutions for the 3rd edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow'.

  15. 18

    dask

    13.9Kdask/dask · Python

    Dask is a flexible parallel computing library for analytics — it runs Python data workloads as scheduled tasks so they can use many cores or machines instead of a single process.

  16. 19

    fashion-mnist

    12.9Kzalandoresearch/fashion-mnist · Python

    A dataset of Zalando's article images for benchmarking machine learning algorithms: 60,000 training and 10,000 test examples, each a 28x28 grayscale image with a label from 10 classes. It is meant as a direct drop-in replacement for the original MNIST.

  17. 20

    python-machine-learning-book

    12.7Krasbt/python-machine-learning-book · Jupyter Notebook

    This is the official code repository for the 1st edition of the 'Python Machine Learning' book by Sebastian Raschka, published by Packt in 2015. It holds the Jupyter notebooks with all the code examples from the book's 13 chapters, from basic classifiers to neural networks.

  18. 21

    lime

    12.2Kmarcotcr/lime · JavaScript

    LIME (Local Interpretable Model-agnostic Explanations) is a Python package that explains individual predictions of any machine learning classifier, whether it works on text, tabular data, or images.

  19. 22

    numerical-linear-algebra

    11Kfastai/numerical-linear-algebra · Jupyter Notebook

    A free online textbook of Jupyter notebooks teaching Computational Linear Algebra, built from a course taught at the University of San Francisco's Masters of Science in Analytics program in 2017.

  20. 23

    autogluon

    10.8Kautogluon/autogluon · Python

    AutoGluon is an open-source Python library that automates machine learning: feed it your data and it delivers strong predictive performance in about three lines of code.

  21. 24

    mlcourse.ai

    10.8KYorko/mlcourse.ai · Python

    An open Machine Learning course by the OpenDataScience (ods.ai) community, led by Yury Kashnitsky: 10 weeks that pair math-heavy lectures with hands-on assignments and Kaggle Inclass competitions, now taken self-paced.

  22. 25

    Machine-Learning

    10.4KJack-Cherish/Machine-Learning · Python

    A Chinese-language tutorial project that implements classic machine learning algorithms in Python3 - kNN, Decision Tree, Naive Bayes, Logistic Regression, SVM, Regression, Regression Tree and AdaBoost - following the exercises in the book 'Machine Learning in Action', with companion blog articles explaining each chapter.

  23. 26

    sktime

    10.1Ksktime/sktime · Python

    sktime is a Python library for machine learning with time series: one unified interface for forecasting, classification, clustering, and anomaly or changepoint detection.

  24. 27

    tpot

    10.1KEpistasisLab/tpot · Jupyter Notebook

    TPOT, the Tree-based Pipeline Optimization Tool, is a Python AutoML library that uses genetic programming to automatically optimize machine learning pipelines for your data; the README calls it your Data Science Assistant.

  25. 28

    codex-claude-academic-skills

    5KzLanqing/codex-claude-academic-skills · Python

    Three Claude Code / Codex Agent Skills built for Chinese academic researchers, covering the full research workflow: research-writing-skill for drafting and polishing papers, office-academic-skill for generating academic Word/PPT documents, and scientific-toolkit-skill for MATLAB/Python scientific computing and publication-quality figures.

  26. 29

    autumn-recruitment

    263Akun-python/autumn-recruitment · Jupyter Notebook

    It is a community-built, Chinese-language collection of Jupyter notebooks covering math foundations, data structures, machine learning, deep learning, LLMs, agents, AI infrastructure, speech, and data science, aimed at job-hunting ('autumn recruitment') interview prep in the LLM era.

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