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algorithms

Implement some data structures and algorithms in C++.

annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

approximateconvolutionalsparsecoding

An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328

background_substraction

Contains some popular background substraction methods implemented in Python.

bgslibrary

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

davis2017-evaluation

Evaluation Framework for DAVIS 2017 Semi-supervised and Unsupervised used in the DAVIS Challenges

deep-k-svd

deep-sparse

We introduce a way to extend sparse dictionary learning to deep architectures.

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dense-ulearn-vos

Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)

densecl

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

enjoy-hamburger

[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-opcounter

Count the MACs / FLOPs of your PyTorch model.

ssvos

A self-supervised video object segmentation project.

ssvos_mindspore

vfs

Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)

videowalk

Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

vit-pytorch

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