🤗 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.
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
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