Learn how to design, develop, deploy and iterate on production-grade ML applications.

A game theoretic approach to explain the output of any machine learning model.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

A guidance language for controlling large language models.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

A scikit-learn compatible neural network library that wraps PyTorch

Taming Transformers for High-Resolution Image Synthesis

Create delightful software with Jupyter Notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

The fastest way to create an HTML app

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

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

[NeurIPS 2021] You Only Look at One Sequence

Code for the online course "Deployment of Machine Learning Models"

Visualizations and helpers to improve and debug machine learning models for Rasa Open Source

this is where we share notebooks/projects used in your youtube channel

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

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

This repository contains Natural Language Generation (NLG) models aimed on generating text of fairy tales (Markov Chain, LSTM neural network, GPT-2 Transformers).

Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers

Examples using 🤗 Hub to share and reload machine learning models

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