Stars
🤗 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.
Models and examples built with TensorFlow
Financial data platform for analysts, quants and AI agents.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
⚡ A Fast, Extensible Progress Bar for Python and CLI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Graph Neural Network Library for PyTorch
Automated nginx proxy for Docker containers using docker-gen
End-to-End Object Detection with Transformers
Deduplicating archiver with compression and authenticated encryption.
🐍 Geometric Computer Vision Library for Spatial AI
Open-source cron job and background task monitoring service, written in Python & Django
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Manipulate audio with a simple and easy high level interface
🐍 The official Python client library for Google's discovery based APIs.
Matplotlib styles for scientific plotting
Python library for audio and music analysis
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
Benchmarks of approximate nearest neighbor libraries in Python
Self hosted FLOSS fitness/workout, nutrition and weight tracker
Python-based continuous integration testing framework; your pull requests are more than welcome!
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
A PyTorch Library for Accelerating 3D Deep Learning Research
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.