Data-science projects on GitHub

1. 1
   #1 · vinta/awesome-python

   awesome-python

   Awesome Python is a curated, opinionated guide to the best Python frameworks, libraries, and tools, organized by category — the classic answer to 'I want to do X in Python, which tool should I use?'

   328.1K
2. 2
   #2 · tensorflow/tensorflow

   tensorflow

   TensorFlow is an open source machine learning platform for building and deploying ML-powered applications.

   201.1K
3. 3
   #3 · jackfrued/Python-100-Days

   Python-100-Days

   A free, day-by-day Python curriculum by Luo Hao (骆昊) that takes a complete beginner through 100 days of lessons covering core language fundamentals, file and database handling, web development with Django, web scraping, data analysis, and machine learning.

   187.2K

4. 4

   ML-For-Beginners

   91.5Kmicrosoft/ML-For-Beginners · Jupyter Notebook

   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.

   • microsoft-for-beginners
   • machinelearning
   • quiz
   • r
5. 5

   crawl4ai

   85.7Kunclecode/crawl4ai · Python

   Crawl4AI is an open-source web crawler and scraper that turns any website into clean, LLM-ready Markdown for RAG pipelines, AI agents, and data extraction workflows.

   • web-crawling
   • web-crawler
   • data-extraction
   • scraper
6. 6

   awesome-interview-questions

   85.1KDopplerHQ/awesome-interview-questions

   A curated list of lists of technical interview questions, covering dozens of languages, frameworks, databases, and topics like algorithms and system design.

   • javascript-interview-questions
   • interview-practice
   • interview-questions
   • ruby
7. 7

   funNLP

   83Kfighting41love/funNLP · Python

   A huge curated collection of Chinese NLP resources: corpora, lexicons, tools, datasets and courses. The README calls it 'The Most Powerful NLP-Weapon Arsenal' — nearly the most complete Chinese NLP resource library.

   • word-embeddings
   • chinese-nlp
   • named-entity-recognition
   • text-classification
8. 8

   awesome-public-datasets

   79.6Kawesomedata/awesome-public-datasets

   A huge topic-centric list of high-quality open public datasets, organized by subject area like biology, chemistry, economics, and more.

   • science
   • datasets
   • dataset
   • academic-research
9. 9

   30-Days-Of-Python

   76.5KAsabeneh/30-Days-Of-Python · Python

   A free 30-day structured curriculum for learning Python from scratch, covering everything from basic syntax to building web APIs and working with databases.

   • fullstack
   • heroku
   • matplotlib
   • flask
10. 10

    superset

    75.2Kapache/superset · Python

    Apache Superset is a modern, enterprise-ready business intelligence web application for data exploration and visualization: build dashboards, charts, and query data with a built-in SQL editor.

    • bi
    • sql-editor
    • business-intelligence
    • apache
11. 11

    awesome-machine-learning

    74.6Kjosephmisiti/awesome-machine-learning · Python

    A curated, community-maintained list of machine learning frameworks, libraries, and software, organized by programming language.

    • r
    • natural-language-processing
    • speech-recognition
    • reinforcement-learning
12. 12

    the-algorithm

    74Ktwitter/the-algorithm · Scala

    This is the actual source code for X's (Twitter's) recommendation algorithm — the collection of services and jobs that build and serve feeds like the For You Timeline, Search, Explore, and Notifications.

    • recommendation-system
    • scala
    • social-media
    • knowledge-graph
13. 13

    scikit-learn

    67.7Kscikit-learn/scikit-learn · Python

    scikit-learn is a Python library for machine learning, offering ready-made algorithms for classification, regression, clustering, dimensionality reduction and more, built on top of SciPy.

    • ml
    • scientific-computing
    • pandas
    • classification
14. 14

    keras

    64.4Kkeras-team/keras · Python

    Keras 3 is a multi-backend deep learning framework that lets you build and train models for computer vision, NLP, audio, timeseries, and recommender systems on top of JAX, TensorFlow, or PyTorch.

    • jax
    • neural-networks
    • tensorflow
    • natural-language-processing
15. 15

    llama_index

    52.5Krun-llama/llama_index · Python

    LlamaIndex is an open-source Python framework for building agentic applications that augment LLMs with your own private data, letting you ingest, index, and query documents with LLM-powered pipelines.

    • llamaindex
    • application
    • retrieval
    • data
16. 16

    100-Days-Of-ML-Code

    51.9KAvik-Jain/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.

    • svm
    • machine-learning-algorithms
    • linear-algebra
    • scikit-learn
17. 17

    PythonDataScienceHandbook

    50.2Kjakevdp/PythonDataScienceHandbook · Jupyter Notebook

    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.

    • ipython
    • matplotlib
    • colab
    • textbook
18. 18

    pandas

    50.1Kpandas-dev/pandas · Python

    pandas is a Python library providing fast, flexible data structures (Series and DataFrame) for working with labeled/relational data, aiming to be the fundamental building block for practical data analysis in Python.

    • dataframe
    • data-processing
    • csv
    • pandas
19. 19

    Made-With-ML

    49.8KGokuMohandas/Made-With-ML · Jupyter Notebook

    Made-With-ML is a free hands-on course that teaches how to design, develop, deploy, and iterate on production-grade machine learning applications, combining ML with software engineering best practices.

    • data-quality
    • llmops
    • distributed-training
    • mlops
20. 20

    qlib

    49.4Kmicrosoft/qlib · Python

    Qlib is Microsoft's open-source, AI-oriented quantitative investment platform that covers the full quant research pipeline — data processing, model training, backtesting, and order execution — using supervised learning, market-dynamics modeling, and reinforcement learning.

    • stock-data
    • platform
    • investment
    • quantitative-trading
21. 21

    julia

    49.2KJuliaLang/julia · Julia

    Julia is a high-level, high-performance dynamic programming language built for technical and scientific computing, numerical analysis, and machine learning.

    • hpc
    • speed
    • science
    • jupyter-notebook
22. 22

    Summer2027-Internships

    48KSimplifyJobs/Summer2027-Internships · Python

    A community-maintained list of Summer 2027 tech internships across software engineering, data science/AI, quant, product management, and hardware, updated daily by Pitt CSC and Simplify.

    • product-management
    • jobs
    • hiring
    • university
23. 23

    airflow

    47.2Kapache/airflow · Python

    Apache Airflow is a platform to programmatically author, schedule, and monitor workflows, defined as code using Python.

    • data-integration
    • workflow-orchestration
    • data-pipelines
    • dag
24. 24

    streamlit

    46Kstreamlit/streamlit · Python

    Streamlit is a Python framework that turns plain scripts into interactive web apps for dashboards, reports, or chat apps, in minutes instead of weeks.

    • streamlit
    • data-analysis
    • data-visualization
    • nlp
25. 25

    spark

    44.2Kapache/spark · Scala

    Apache Spark is a unified analytics engine for large-scale data processing, offering high-level APIs in Scala, Java, Python, and R on top of an optimized execution engine.

    • hdfs
    • hive
    • dataframe
    • jdbc
26. 26

    ray

    44.1Kray-project/ray · Python

    Ray is an open-source framework for scaling AI and Python applications: a core distributed runtime plus a set of AI libraries that simplify ML compute.

    • scaling
    • hyperparameter-optimization
    • distributed-computing
    • parallel-computing
27. 27

    gradio

    43.8Kgradio-app/gradio · Python

    Gradio is an open-source Python package that turns machine learning models, APIs, or any arbitrary Python function into a shareable demo or web app in just a few lines of Python.

    • interface
    • sharing
    • deploy
    • ai-skills
28. 28

    TensorFlow-Examples

    43.7Kaymericdamien/TensorFlow-Examples · Jupyter Notebook

    A hands-on tutorial collection that teaches TensorFlow through runnable examples, from a hello world notebook up to deep neural networks and GANs.

    • tensorboard
    • word2vec
    • rnn
    • unsupervised-learning
29. 29

    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'.

    • rnn
    • svm
    • lstm
    • machine-learning-algorithms
30. 30

    duckdb

    42.2Kduckdb/duckdb · C++

    DuckDB is a high-performance analytical SQL database system, designed to be fast, reliable, portable and easy to use, with a rich SQL dialect that goes far beyond basic SQL.

    • olap
    • embedded-database
    • csv
    • pandas
31. 31

    Kronos

    40.9Kshiyu-coder/Kronos · Python

    Kronos is an open-source foundation model for financial candlestick (K-line) data, pretrained on data from over 45 global exchanges to produce price/volume forecasts.

    • forecasting
    • backtesting
    • quant
    • algorithmic-trading
32. 32

    polars

    40.1Kpola-rs/polars · Rust

    Polars is an extremely fast analytical query engine for DataFrames, written in Rust and designed to be fast, easy to use and expressive.

    • dataframe
    • polars
    • tabular-data
    • parallel
33. 33

    google-research

    38.9Kgoogle-research/google-research · Jupyter Notebook

    A giant monorepo where Google Research dumps the code released alongside its papers and projects - hundreds of independent folders covering different research efforts, not one cohesive product.

    • science
    • datasets
    • papers
    • paper
34. 34

    Coursera-ML-AndrewNg-Notes

    38Kfengdu78/Coursera-ML-AndrewNg-Notes · HTML

    This is Huang Haiguang's personal Chinese-language notes on Andrew Ng's 2014 Stanford/Coursera Machine Learning course, covering every lecture, the slides, and exercise code.

    • neural-networks
    • chinese-language
    • academic
    • course
35. 35

    Data-Science-For-Beginners

    37.6Kmicrosoft/Data-Science-For-Beginners · Jupyter Notebook

    A free 10-week, 20-lesson data science curriculum from Microsoft's Azure Cloud Advocates, built to take complete beginners from core concepts all the way to real-world projects.

    • microsoft-for-beginners
    • matplotlib
    • pandas
    • nosql
36. 36

    500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

    37.3Kashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

    It is a curated index linking to over 500 external resources, repositories, and tutorials covering AI, machine learning, deep learning, computer vision, and NLP projects with code.

    • deep-learning-tutorial
    • datasets
    • awesome-lists
    • natural-language-processing
37. 37

    spaCy

    34Kexplosion/spaCy · Python

    spaCy is a library for advanced Natural Language Processing in Python and Cython, designed from day one for real products. It ships pretrained pipelines and supports tokenization and training for 70+ languages.

    • cython
    • nlp-library
    • production
    • named-entity-recognition
38. 38

    numpy

    33Knumpy/numpy · Python

    NumPy is the fundamental package for scientific computing with Python — the array-and-math foundation that most numerical Python code builds on.

    • pypi
    • scientific-computing
    • mathematics
    • statistics
39. 39

    ML-From-Scratch

    33Keriklindernoren/ML-From-Scratch · Python

    A Python library of fundamental machine learning models and algorithms implemented from scratch in NumPy, aiming to cover everything from linear regression to deep learning.

    • gym
    • svm
    • unsupervised-learning
    • data-mining
40. 40

    pytorch-lightning

    31.4KLightning-AI/pytorch-lightning · Python

    PyTorch Lightning is a deep learning framework for pretraining and finetuning AI models of any size, scaling from a single CPU to thousands of GPUs or TPUs without changing your model code.

    • generative-adversarial-network
    • distributed-training
    • mlops
    • onnx
41. 41

    AI-Expert-Roadmap

    31.3KAMAI-GmbH/AI-Expert-Roadmap · JavaScript

    A set of charts that map the paths and technologies for becoming a data scientist, machine learning engineer, or AI expert — the i.am.ai AI Expert Roadmap, drawn up by AMAI and published as the 2022 edition.

    • study-plan
    • roadmap
    • data-engineering
    • data-analysis
42. 42

    applied-ml

    30.6Keugeneyan/applied-ml

    applied-ml is a curated collection of papers, articles, and tech blogs where companies like Airbnb, Uber, Netflix, Google, and DoorDash share how they run data science and machine learning in production.

    • production
    • anomaly-detection
    • data-quality
    • data-engineering
43. 43

    tuning_playbook

    30.4Kgoogle-research/tuning_playbook

    A free, in-depth guide from five Google Research Brain Team researchers (plus a Harvard co-author) on systematically maximizing the performance of deep learning models — the 'Deep Learning Tuning Playbook'.

    • hyperparameter-tuning
    • neural-networks
    • optimization
    • training
44. 44

    awesome-datascience

    30.2Kacademic/awesome-datascience

    An open-source, community-maintained Data Science repository — essentially a giant curated list of resources (courses, tutorials, algorithms, tools, books, datasets, communities) for learning and applying data science to real-world problems. Around 30k stars, around since 2014.

    • data-mining
    • science
    • mathematics
    • statistics
45. 45

    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'.

    • keras
    • beginner
    • scikit-learn
    • numpy
46. 46

    d2l-en

    29.9Kd2l-ai/d2l-en · Python

    An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

    • recommender-system
    • hyperparameter-optimization
    • mxnet
    • kaggle
47. 47

    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.

    • scipy
    • hadoop
    • kaggle
    • matplotlib
48. 48

    reflex

    29Kreflex-dev/reflex · Python

    Reflex is a library for building full-stack web apps in pure Python: you write the frontend and the backend in Python, with no need to learn Javascript.

    • fullstack
    • webapp
    • pypi
    • full-stack
49. 49

    xgboost

    28.9Kdmlc/xgboost · C++

    XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable — it implements machine learning algorithms under the Gradient Boosting framework.

    • flink
    • r
    • parallel
    • spark
50. 50

    COVID-19

    28.9KCSSEGISandData/COVID-19

    The COVID-19 data repository by Johns Hopkins University's Center for Systems Science and Engineering (CSSE) — the case data behind their widely used pandemic Visual Dashboard.

    • health
    • engineering
    • science
    • datasets
51. 51

    machine-learning-for-software-engineers

    28.9KZuzooVn/machine-learning-for-software-engineers

    A free multi-month self-study curriculum that takes a working software engineer from mobile development to a machine learning engineer job, built as a GitHub checklist of articles, books, courses and competitions.

    • kaggle
    • r
    • machine-learning-algorithms
    • roadmap
52. 52

    redash

    28.8Kgetredash/redash · Python

    Redash is an open-source business intelligence platform: you connect data sources, explore and query them, visualize the results and share dashboards with your team. Thousands of organizations use it for data-driven decisions.

    • redshift
    • bi
    • databricks
    • snowflake
53. 53

    fastai

    28.2Kfastai/fastai · Jupyter Notebook

    It's a deep learning library: high-level components that reach state-of-the-art results quickly in standard domains, plus low-level pieces researchers can mix and match to build new approaches.

    • notebooks
    • tabular-data
    • colab
    • course
54. 54

    Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    28.2KCamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers · Jupyter Notebook

    An open-source introductory book, Bayesian Methods for Hackers, that teaches Bayesian inference and probabilistic programming in pure Python with PyMC, built around runnable Jupyter notebook chapters.

    • math
    • jupyter
    • jupyter-notebook
    • statistics
55. 55

    go

    26.3Kdatasciencemasters/go

    The Open Source Data Science Masters (OSDSM) is a free, self-guided curriculum that collects the best open university courses, books, and tutorials to prepare someone for an entry-level Data Scientist role.

    • r
    • statistics
    • curriculum
    • career
56. 56

    pumpkin-book

    26.1Kdatawhalechina/pumpkin-book

    Pumpkin Book (南瓜书) is a companion study guide that fills in the derivation details Zhou Zhihua's 'Machine Learning' textbook (known as the Watermelon Book, 西瓜书) deliberately left out.

    • math
    • mathematics
    • academic
    • algorithms
57. 57

    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.

    • gradient-boosting
    • explainable-ai
    • interpretability
    • scikit-learn
58. 58

    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'.

    • colab-notebook
    • scikit-learn
    • ml
    • distributed
59. 59

    fastbook

    25.4Kfastai/fastbook · Jupyter Notebook

    This repo contains the official Jupyter Notebooks for 'the fastai book', an introduction to deep learning, the fastai library, and PyTorch.

    • notebooks
    • tabular-data
    • transfer-learning
    • deep-learning-tutorial
60. 60

    pydata-book

    25Kwesm/pydata-book · Jupyter Notebook

    This is the companion repository of Jupyter notebooks and materials for the book 'Python for Data Analysis' by Wes McKinney, covering pandas, NumPy, and data analysis techniques.

    • ipython
    • notebooks
    • plotting
    • loading
61. 61

    nn-zero-to-hero

    24.8Kkarpathy/nn-zero-to-hero · Jupyter Notebook

    A course by Andrej Karpathy that teaches neural networks from the absolute basics, built around a series of YouTube lectures with accompanying Jupyter notebooks coded live in the videos.

    • karpathy
    • attention-mechanism
    • language-model
    • neural-networks
62. 62

    homemade-machine-learning

    24.8Ktrekhleb/homemade-machine-learning · Jupyter Notebook

    A collection of popular machine learning algorithms implemented from scratch in Python, each paired with an interactive Jupyter Notebook demo and an explanation of the math behind it.

    • clustering
    • machinelearning
    • machine-learning-algorithms
    • jupyter
63. 63

    dash

    24.5Kplotly/dash · Python

    Dash is an open-source Python framework for building ML and data science web apps: interactive dashboards and data apps where dropdowns, sliders and graphs are wired directly into your analytical Python code, with no JavaScript required.

    • charting
    • plotly
    • dash
    • bioinformatics
64. 64

    pytudes

    24.4Knorvig/pytudes · Jupyter Notebook

    Pytudes is Peter Norvig's personal collection of short, deliberately difficult Python programs and Jupyter notebooks, each written to perfect one specific programming skill, in the spirit of a musical étude.

    • python-3
    • colab-notebook
    • practice
    • natural-language-processing
65. 65

    CV

    24KAccumulateMore/CV · Jupyter Notebook

    A comprehensive collection of Chinese-language deep learning study notes covering PyTorch, classic deep learning courses, and LLM agents — written to accompany well-known video courses.

    • cv
    • notebook
    • notes
    • jupyter-notebook
66. 66

    prefect

    24KPrefectHQ/prefect · Python

    Prefect is a Python workflow orchestration framework for turning ordinary scripts into resilient, production-grade data pipelines with scheduling, retries, caching, and event-based automations.

    • workflow-engine
    • pipeline
    • data
    • scheduler
67. 67

    pandas-ai

    23.9Ksinaptik-ai/pandas-ai · Python

    PandasAI is a Python library that lets you ask questions about your data (SQL, CSV, parquet, dataframes) in plain natural language, powered by LLMs.

    • dataframe
    • text-to-sql
    • gpt-4
    • data
68. 68

    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.

    • automl
    • gpt-3
    • jax
    • keras
69. 69

    matplotlib

    23.4Kmatplotlib/matplotlib · Python

    Matplotlib is a comprehensive Python library for creating static, animated, and interactive data visualizations and publication-quality figures.

    • plotting
    • gtk
    • charting-library
    • matplotlib
70. 70

    marimo

    23.2Kmarimo-team/marimo · Python

    A reactive Python notebook: run a cell or touch a UI element and dependent cells re-run automatically, keeping code and outputs consistent. Notebooks are pure Python files that can run as scripts or deploy as web apps.

    • notebooks
    • plotting
    • dag
    • notebook
71. 71

    akshare

    23Kakfamily/akshare · Python

    AKShare is a free, open-source Python library that wraps a large set of financial data interfaces behind simple function calls - one line of code is enough to fetch a dataset.

    • financial-data
    • economics
    • stock
    • stock-analysis
72. 72

    data-science

    22.3Kossu/data-science

    OSSU Data Science is a free, self-taught curriculum that mirrors an undergraduate degree in data science, built from MOOCs offered by top universities, covering everything from intro programming through machine learning and a final project.

    • study-plan
    • online-learning
    • university
    • roadmap
73. 73

    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.

    • chinese-simplified
    • unsupervised-learning
    • chinese-translation
    • machine-learning-algorithms
74. 74

    reinforcement-learning

    22.2Kdennybritz/reinforcement-learning · Jupyter Notebook

    A collection of Reinforcement Learning algorithm implementations, exercises, and solutions meant to accompany Sutton's 'Reinforcement Learning: An Introduction' textbook and David Silver's RL course.

    • deep-reinforcement-learning
    • tensorflow
    • reinforcement-learning
    • neural-network
75. 75

    datasets

    22.1Khuggingface/datasets · Python

    A lightweight Python library from Hugging Face that gives one-line dataloaders for a huge catalog of ready-to-use public datasets on the HF Hub, plus fast, reproducible preprocessing for Hub and local data.

    • medical-imaging
    • polars
    • jax
    • spark
76. 76

    recommenders

    22Krecommenders-team/recommenders · Python

    An open-source Python library and notebook collection with best practices for building, evaluating and deploying recommendation systems — a Linux Foundation of AI & Data project that started at Microsoft.

    • ranking
    • recommendation-system
    • spark
    • mlops
77. 77

    pytorch-handbook

    21.7Kzergtant/pytorch-handbook · Jupyter Notebook

    An open-source Chinese-language book that teaches PyTorch for deep learning, written as a set of Jupyter notebooks whose code has all been tested to actually run.

    • kaggle
    • deep-learning-tutorial
    • image-classification
    • natural-language-processing
78. 78

    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.

    • open-standard
    • keras
    • scikit-learn
    • ml
79. 79

    machine-learning-for-trading

    21.4Kstefan-jansen/machine-learning-for-trading · Jupyter Notebook

    The code repository for Machine Learning for Trading, 3rd Edition by Stefan Jansen: an end-to-end workflow for building, testing, and deploying ML-driven trading strategies, from data sourcing to live execution.

    • gradient-boosting
    • polars
    • trading-strategies
    • investment
80. 80

    awesome-production-machine-learning

    21KEthicalML/awesome-production-machine-learning

    A curated, community-maintained directory of open source libraries for production machine learning: tools to deploy, monitor, version, scale, and secure ML systems, grouped into 25+ annotated sections.

    • automl
    • interpretability
    • data-mining
    • mlops
81. 81

    ciencia-da-computacao

    20.9KUniversidade-Livre/ciencia-da-computacao

    This is a free, Portuguese-language self-study curriculum for Computer Science, built by Universidade Livre (a Brazilian open university initiative) from existing open courses from Brazilian universities and institutions.

    • roadmap
    • academic
    • data-structures
    • curriculum
82. 82

    bokeh

    20.5Kbokeh/bokeh · TypeScript

    Bokeh is a Python library for building interactive visualizations that run in modern web browsers: plots, dashboards, and data applications, with high-performance interactivity over large or streaming datasets.

    • notebooks
    • plotting
    • dashboards
    • charting-library
83. 83

    prophet

    20.4Kfacebook/prophet · Python

    Prophet is an open-source forecasting procedure for time series: an additive model fits non-linear trends with yearly, weekly and daily seasonality plus holiday effects. It is aimed at series with strong seasonal effects and several seasons of history, and handles missing data, trend shifts and outliers well.

    • r
    • forecasting
    • time-series
    • scientific-computing
84. 84

    stanford-cs-229-machine-learning

    20.3Kafshinea/stanford-cs-229-machine-learning

    A collection of cheatsheets and refreshers that summarize all the key concepts taught in Stanford's CS 229 Machine Learning course, covering supervised learning, unsupervised learning, deep learning, and training tips.

    • unsupervised-learning
    • study
    • university
    • math
85. 85

    lihang-code

    19.6Kfengdu78/lihang-code · Jupyter Notebook

    A collection of Jupyter Notebook code implementations for every algorithm covered in Li Hang's book 'Statistical Learning Methods' (《统计学习方法》, 2nd edition), organized chapter by chapter.

    • svm
    • statistics
    • interview-preparation
    • algorithms
86. 86

    taipy

    19.4KAvaiga/taipy · Python

    Taipy is a Python framework that turns data and AI code into production-ready web applications, taking you from a simple pilot script to a deployable app without extra web development work.

    • datascience
    • data-integration
    • hacktoberfest2023
    • pipelines
87. 87

    Kalman-and-Bayesian-Filters-in-Python

    19.4Krlabbe/Kalman-and-Bayesian-Filters-in-Python · Jupyter Notebook

    An interactive book that teaches Kalman and Bayesian filters (Kalman, extended Kalman, unscented Kalman, particle filters) using Python and Jupyter Notebook, focused on intuition rather than formal proofs.

    • physics
    • mathematics
    • jupyter-notebook
    • statistics
88. 88

    pytorch-deep-learning

    19.2Kmrdbourke/pytorch-deep-learning · Jupyter Notebook

    Free course materials for the Zero to Mastery Learn PyTorch for Deep Learning course — a hands-on, code-first introduction to deep learning. The author jokes it's the second best place to learn PyTorch on the internet, after the official docs.

    • colab
    • datasets
    • youtube
    • curriculum
89. 89

    abu

    18.9Kbbfamily/abu · Python

    This is 'abu' (阿布量化), an open-source Python framework for building, backtesting and running quantitative trading strategies across US/A-share/HK stocks, futures, options and cryptocurrencies like Bitcoin, using machine learning to optimize the strategies.

    • options-trading
    • trade
    • stock
    • technical-analysis
90. 90

    LightGBM

    18.9Klightgbm-org/LightGBM · C++

    LightGBM is a gradient boosting framework that uses tree-based learning algorithms, used for ranking, classification and many other machine learning tasks.

    • gradient-boosting
    • ranking
    • kaggle
    • r
91. 91

    plotly.py

    18.8Kplotly/plotly.py · Python

    An interactive, open-source graphing library for Python: you describe charts in Python code and get interactive figures rendered in the browser.

    • plotly
    • d3
    • charting-library
    • declarative
92. 92

    plotly.js

    18.4Kplotly/plotly.js · JavaScript

    Plotly.js is an open-source JavaScript charting library that draws interactive charts in the browser. It also powers the plotly modules for Python and R (Plotly.py, Plotly.R) and sits behind Plotly and Dash.

    • plotly
    • d3
    • charting-library
    • charts
93. 93

    Machine-Learning-Tutorials

    18.3Kujjwalkarn/Machine-Learning-Tutorials

    A topic-wise curated list of machine learning and deep learning tutorials, articles and other resources, maintained as a single GitHub README.

    • machinelearning
    • kaggle
    • r
    • deep-learning-tutorial
94. 94

    aie-book

    17.9Kchiphuyen/aie-book · Jupyter Notebook

    The companion repo for Chip Huyen's book 'AI Engineering' (2025) and a collection of resources for AI engineers: chapter summaries, study notes, prompt examples, case studies. It's a work in progress and keeps growing.

    • hallucination-detection
    • study-guide
    • evaluation
    • jupyter notebook
95. 95

    DeepLearning

    17.8KMikoto10032/DeepLearning · Jupyter Notebook

    A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

    • machinelearning
    • mxnet
    • word2vec
    • rnn
96. 96

    data-formulator

    17.6Kmicrosoft/data-formulator · Python

    Data Formulator is an interactive AI-powered data analysis tool from Microsoft Research that lets you explore data by combining UI interactions with natural language, with AI agents handling data connections, transformations, and chart generation.

    • duckdb
    • azure
    • data-analysis
    • charts
97. 97

    awesome-tensorflow

    17.5Kjtoy/awesome-tensorflow

    A curated list of TensorFlow experiments, libraries, and projects — an index of resources for learning and building with TensorFlow, inspired by awesome-machine-learning.

    • generative-adversarial-network
    • books
    • tensorflow
    • reinforcement-learning
98. 98

    ML-YouTube-Courses

    17.4Kdair-ai/ML-YouTube-Courses

    A curated index maintained by DAIR.AI that organizes the best and most recent machine learning and AI courses available on YouTube, from intro ML to deep learning, NLP, and reinforcement learning.

    • scientific-computing
    • students
    • natural-language-processing
    • youtube
99. 99

    networkx

    17.3Knetworkx/networkx · Python

    NetworkX is a Python package for creating, manipulating, and studying complex networks — collections of nodes connected by edges — together with algorithms for analyzing them.

    • graph-visualization
    • pip
    • scientific-computing
    • mathematics
100. 100

     ipython

     16.8Kipython/ipython · Python

     This is IPython — the enhanced interactive Python shell, pitched as 'productive interactive computing'. You use it instead of the bare python REPL for exploratory coding and data work.

     • ipython
     • repl
     • console
     • jupyter

Showing the 100 most-starred of 231. See every one in the catalog.

• python2,396
• machine-learning916
• open-source5,666
• deep-learning737
• education933
• linux4,182
• tutorial626
• research764
• mit3,311
• library1,587
• macos3,544
• windows3,401
• ai1,955
• cross-platform2,622
• data-visualization201
• jupyter notebook176
• apache-2.01,434
• data-analysis73
• pytorch419
• learning-resources410
• nlp214
• numpy73
• learning512
• resources706