Top LEARNING GitHub Repositories & Tools (2026)

A Cloud Native Batch System (Project under CNCF)

🚀 Efficient implementations for emerging model architectures

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

A curated list of software, simulators, policies, agent tools and coverage for the Pollen Robotics / Hugging Face Microduck robot

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Single-cell analysis in Python. Scales to >100M cells.

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

🤖 A Python library for learning and evaluating knowledge graph embeddings

State-of-the-Art Source Code Plagiarism & Collusion Detection. Check for plagiarism in a set of programs.

Machine learning with dataframes

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

Build a system, load it until it breaks, and watch why. A system design simulator for learning distributed systems.

Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.

Any source (PDF, video, web, audio, text) to interactive learning package with quizzes, flashcards and spaced repetition. One command, 12-section study guide.

A scalable inference server for models optimized with OpenVINO™

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.