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

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

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

A unified framework for machine learning with time series

YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure

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

Deep Learning for humans

🔥Highlighting the top ML papers every week.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Open standard for machine learning interoperability

Machine Learning Engineering Open Book

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

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

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.