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TensorFlow documentation

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

A scikit-learn compatible neural network library that wraps PyTorch

A system for quickly generating training data with weak supervision

Learn AI and LLMs from scratch using free resources

Uplift modeling and causal inference with machine learning algorithms

A model-driven approach to building AI agents in just a few lines of code.

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

Democratizing Reinforcement Learning for LLMs

Chronos: Pretrained Models for Time Series Forecasting

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

mlpack: a fast, header-only C++ machine learning library

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

Deep Reinforcement Learning for Keras.

Supercharge Your Model Training

Rust bindings for the C++ api of PyTorch.

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

NVIDIA cuML: GPU-Accelerated Machine Learning

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

cuML - RAPIDS Machine Learning Library

Probabilistic time series modeling in Python

Implement a reasoning LLM in PyTorch from scratch, step by step

A library of extension and helper modules for Python's data analysis and machine learning libraries.