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.
The Web framework for perfectionists with deadlines.
scikit-learn: machine learning in Python
Scrapy, a fast high-level web crawling & scraping framework for Python.
Making large AI models cheaper, faster and more accessible
A book-in-progress about the Linux kernel and its insides.
⚡ A Fast, Extensible Progress Bar for Python and CLI
Graph Neural Network Library for PyTorch
StyleGAN - Official TensorFlow Implementation
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Low-code framework for building custom LLMs, neural networks, and other AI models
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Deep universal probabilistic programming with Python and PyTorch
OctoPrint is the snappy web interface for your 3D printer!
A collection of libraries to optimise AI model performances
The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
A system for quickly generating training data with weak supervision
A flexible framework of neural networks for deep learning
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Python-based continuous integration testing framework; your pull requests are more than welcome!
Client code for Jasper voice computing platform
Differentiable architecture search for convolutional and recurrent networks
Lightweight library to build and train neural networks in Theano