lslrh

multi-view

CPSL

Official pytorch implementation of CPSL: class-balanced pixel-level self-labeling for domain adaptive semantic segmentation (CVPR 2022)

SIM

Official pytorch implementation of SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation (CVPR 2023)

T-SVDNet

T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation

FMR

CODE of Flexible Multi-View Representation Learning for Subspace Clustering

RMSL

This is the CODE of Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering

CVPR2022-Paper-Code-Interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

DynaMask

Official pytorch implementation of DynaMask: Dynamic Mask Selection for Instance Segmentation (CVPR 2023)

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

adversarial-autoencoders

Tensorflow implementation of Adversarial Autoencoders

ARGA

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Deep-subspace-clustering-networks

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

Deformable-ConvNets

Deformable Convolutional Networks

DIM

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

generative.py

wGAN

IFC

Video Instance Segmentation using Inter-Frame Communication Transformers (NeurIPS 2021)

lslrh.github.io

Ruihuang Li's Homepage

LtC-MSDA

Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).

MDMM

Learning multi-domain multi-modality I2I translation

ProDA

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

SegFormer

Official implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"

SpectralNet

Deep network that performs spectral clustering

vae

a simple vae and cvae from keras

weakly-IS