Learn how to develop, deploy and iterate on production-grade ML applications.

The Open Source Feature Store for AI/ML

🧙 Build, run, and manage data pipelines for integrating and transforming data.

The absolute trainer to light up AI agents.

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

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

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Deep Learning for humans

💫 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.

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

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

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.