Category

nanochat is a full-stack, minimal codebase for training, fine-tuning, evaluating, and deploying a ChatGPT-like large language model (LLM) from scratch on a single 8xH100 GPU node for under $100.

Agent Lightning is an open-source framework developed by Microsoft Research for optimizing and training AI agents using reinforcement learning (RL) and other techniques, supporting integration with any agent framework with minimal code changes.

Open-source deep-learning framework for building, training and deploying neural networks on GPUs and CPUs.

End-to-end open-source machine-learning platform for building, training and deploying models across desktop, mobile, web and cloud.

Open-source Python library from Hugging Face that supplies thousands of pretrained transformer models and utilities for text, vision, audio and multimodal tasks.

A free, open-source Python library that offers a unified API for classical machine-learning algorithms, data-pre-processing, model selection and evaluation.

High-level, multi-backend deep-learning API for building, training and deploying neural-network models.

Open-source framework that accelerates fine-tuning and full training of transformer LLMs by up to 30 × while cutting VRAM requirements by roughly 90 %, letting developers train custom models quickly on commodity GPUs.

Lightweight PyTorch wrapper that separates research code from engineering, enabling fast, scalable and reproducible deep-learning workflows.

JAX is a high-performance Python library that brings just-in-time compilation, automatic differentiation and easy parallelism to NumPy-style array programming.

Open-source deep-learning optimisation library from Microsoft that scales PyTorch training and inference to trillions of parameters with maximum efficiency.

Diffusers is Hugging Face’s open-source Python library that packages state-of-the-art diffusion models and tooling for fast experimentation, training, and inference across images, audio, video, and 3-D content.