📚 Freely available programming books

Aydin — User-friendly, Fast, Self-Supervised Image Denoising for All.

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

torch-optimizer -- collection of optimizers for Pytorch

Pytorch implementation of convolutional neural network visualization techniques

A PyTorch implementation of EfficientNet

PyTorch code and models for the DINOv2 self-supervised learning method.

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Documentation that simply works

SMILES Pair Encoding: A data-driven substructure representation of chemicals

Code and Documentation for the first place solution in 2023 Abdominal Trauma Detection Competition hosted by RSNA on Kaggle.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Official DeiT repository

[ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"

Learning Rate Warmup in PyTorch

An extremely fast Python package and project manager, written in Rust.