Autolabel alternatives for 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.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

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.

Fast and Accurate ML in 3 Lines of Code

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.

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

A unified framework for machine learning with time series

An open source python library for automated feature engineering

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

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