Stars
📚 Freely available programming books
An opinionated list of Python frameworks, libraries, tools, and resources.
All Algorithms implemented in Python
Stable Diffusion web UI
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
A natural language interface for computers
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Streamlit — A faster way to build and share data apps.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
💫 Industrial-strength Natural Language Processing (NLP) in Python
DSPy: The framework for programming—not prompting—language models
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
☁️ Build multimodal AI applications with cloud-native stack
Faster Whisper transcription with CTranslate2