docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

orthogonal projective non-negative matrix factorization

Symmetric NMF for graph clustering

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

A Jekyll plugin to add metadata tags for search engines and social networks to better index and display your site's content.

This code implements sparse coding in PyTorch with GPU support.

Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

Proximal optimization in pure python

✨✨Latest Advances on Multimodal Large Language Models

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Finetune Llama 3.3, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

Matrix Factorization Library

Theano-based implementation of Deep Semi-NMF.

Implementation of Projected gradient NMF

Nonnegative Linear Models (NNLM) and Nonnegative Matrix Factorization (NMF or NNMF).

PyTorch native post-training library

Neural NMF

Python toolbox for nonnegative matrix factorization

A pytorch package for non-negative matrix factorization.

Google Drive Public File Downloader when Curl/Wget Fails

An implementation of the Debug Adapter Protocol for Python

Lucid library adapted for PyTorch

Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

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