Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Deep Learning for humans

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

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

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

💫 Industrial-strength Natural Language Processing (NLP) in Python

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Low-code framework for building custom LLMs, neural networks, and other AI models

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

Fast and Accurate ML in 3 Lines of Code

Data science interview questions and answers

The Julia Programming Language