data-science

Open Machine Learning Course

Fast and Accurate ML in 3 Lines of Code

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Modin: Scale your Pandas workflows by changing a single line of code

Data science interview questions and answers

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

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

A unified framework for machine learning with time series

Best Practices, code samples, and documentation for Computer Vision.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Deep learning library featuring a higher-level API for TensorFlow.

A python library for user-friendly forecasting and anomaly detection on time series.

XGo is a programming language that reads like plain English. But it's also incredibly powerful — it lets you leverage assets from C/C++, Go, Python, and JavaScript/TypeScript, creating a unified software engineering ecosystem. Our vision is to enable everyone to become a builder of the world.

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.

A collection of machine learning examples and tutorials.

🧙 Build, run, and manage data pipelines for integrating and transforming data.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀