python

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 curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The Open Source Feature Store for AI/ML

The "Python Machine Learning (2nd edition)" book code repository and info resource

🚀 A lightweight, framework-agnostic database migration tool.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Flower: A Friendly Federated AI Framework

:speech_balloon: Machine Learning Course with Python:

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

A log of things I'm learning

A fast type checker and language server for Python