🤗 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.
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The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A generative speech model for daily dialogue.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Awesome autocompletion, static analysis and refactoring library for python
Superduper: End-to-end framework for building custom AI applications and agents.
Python Toolkit for Causal and Probabilistic Reasoning
NobodyWho is an inference engine that lets you run LLMs locally and efficiently on any device.
Generate Nix packages from URLs with hash prefetching, dependency inference, license detection, and more [maintainer=@figsoda]
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
A fast and efficient type assistant for Python, including tensor shape inference
A CLI tool to automatically add type annotations into Python code. Must have tool for annotating existing code.
Opinionated typing package for precise type hints in Python