Hanzhe Hu's repositories
SemiSeg-AEL
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
RegionContrast
Region-aware Contrastive Learning for Semantic Segmentation, ICCV 2021
PlotNeuralNet
Latex code for making neural networks diagrams
DUpsampling
This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AWESOME-FER
A reading list of top Conferences & Journals, focused on facial expression recognition (FER)
awesome-NeRF
A curated list of awesome neural radiance fields papers
ZOOpt
A python package of Zeroth-Order Optimization (ZOOpt)
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
beautiful-jekyll
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
Crazy-Python
What the f*ck Python 中文翻译
deep-learning-notes
Experiments with Deep Learning
DeepInterests
深度有趣
LeetCode
:pencil2: LeetCode solutions in C++ 11 and Python3
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
nju-thesis
南京大学学位论文XeLaTeX模板
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
PyTorch-Encoding
A CV Toolkit
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ralis
Code for the paper "Reinforced Active Learning for Image Segmentation"
RangeLoss-Pytorch-ReID
A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》
Ranked_Person_ReID
Person reID
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
x-force
winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin