Stars
The official repository of Mozilla's Firefox web browser.
An extremely fast Python package and project manager, written in Rust.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
A generative world for general-purpose robotics & embodied AI learning.
Python tool for converting files and office documents to Markdown.
Get your documents ready for gen AI
Train transformer language models with reinforcement learning.
Simple, safe way to store and distribute tensors
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Large Language Model Text Generation Inference
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
🤗 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.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
scikit-learn: machine learning in Python
Implementation of Nougat Neural Optical Understanding for Academic Documents
Some out-of-the-box hooks for pre-commit
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
This repository contains demos I made with the Transformers library by HuggingFace.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Chrome extension that opens and syncs Overleaf compiled pdfs in a new window.
A Comparative Framework for Multimodal Recommender Systems