Ranked by Attention Score: stars gained over the last 180 complete days
1–100 of 200 by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Apache Superset is a Data Visualization and Data Exploration Platform
10 Weeks, 20 Lessons, Data Science for All!
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Learn how to develop, deploy and iterate on production-grade ML applications.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
scikit-learn: machine learning in Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Streamlit — A faster way to build and share data apps.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Python training for business analysts and traders
:memo: An awesome Data Science repository to learn and apply for real world problems.
VIP cheatsheets for Stanford's CS 229 Machine Learning
An orchestration platform for the development, production, and observation of data assets.
🔥Highlighting the top ML papers every week.
🕸️ Web apps in pure Python 🐍
Open Source Feature Flags, Experimentation, and Product Analytics
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
matplotlib: plotting with Python
Your new Mentor for Data Science E-Learning.
Deep Learning for humans
Refine high-quality datasets and visual AI models
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
The fastai book, published as Jupyter Notebooks
💫 Industrial-strength Natural Language Processing (NLP) in Python
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Roadmap to becoming an Artificial Intelligence Expert in 2022
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Fast and Accurate ML in 3 Lines of Code
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Always know what to expect from your data.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Data Apps & Dashboards for Python. No JavaScript Required.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
🦉 Data Versioning and ML Experiments
A curated list of references for MLOps
A curated list of awesome big data frameworks, ressources and other awesomeness.
Best Practices on Recommendation Systems
Statsmodels: statistical modeling and econometrics in Python
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
The Open Source Feature Store for AI/ML
📺 Discover the latest machine learning / AI courses on YouTube.
A unified framework for machine learning with time series
The Cloud Native AI Platform
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
🌊 Online machine learning in Python
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Automatic extraction of relevant features from time series:
Statistical data visualization in Python
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
OpenRefine is a free, open source power tool for working with messy data and improving it
Data science interview questions and answers
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Open Machine Learning Course
A python library for user-friendly forecasting and anomaly detection on time series.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Lightning ⚡️ fast forecasting with statistical and econometric models.
cuDF - GPU DataFrame Library
R for data science: a book
Quantitative analysis, strategies and backtests
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Topic Modelling for Humans
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
Low-code framework for building custom LLMs, neural networks, and other AI models
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A curated list of awesome R packages, frameworks and software.
A curated list of awesome Jupyter projects, libraries and resources
The "Python Machine Learning (1st edition)" book code repository and info resource
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
common data analysis and machine learning tasks using python
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
An open source python library for automated feature engineering
Python Stream Processing
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.