📝 Utility to create, edit, and publish model cards on the Hugging Face Hub. [**Now lives in huggingface_hub**]

mkdocs + material + cool stuff

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

skops is a Python library helping you share your scikit-learn based models and put them in production

scikit-learn: machine learning in Python

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

This repository contains the code for "Generating Datasets with Pretrained Language Models".

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)

[NeurIPS 2021] You Only Look at One Sequence

Additional code for Stable-baselines3 to load and upload models from the Hub.

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

Bringing Old Films Back to Life (CVPR 2022)

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Accelerated NLP pipelines for fast inference on CPU and GPU. Built with Transformers, Optimum and ONNX Runtime.

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

🎲 Application of Computer Vision to the classic game Rock-Paper-Scissors

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Deep Reinforcement Learning for Keras.

IDE for PyTorch and its ecosystem

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Grab target's webcam shots by link

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Jupyter notebooks for the Natural Language Processing with Transformers book

Training neural models with structured signals.

Deep Learning for humans

Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and inference notebooks.