zhizhangxian Goto Github PK

8puzzle

curriculum design: 8 puzzle (BFS/DFS/A*)

adventures_in_opencl

A tutorial series for learning OpenCL

automl

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

bisenet

Add bisenetv2. My implementation of BiSeNet

bp-ga-pytorch

:dna: bp-ga algorithm implemented by pytorch

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

clims

CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation (CVPR 2022)

config-builder

a list of config-builder repo and tutorials which may help you to build your own config file

contrastiveseg

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

cris.pytorch

An official PyTorch implementation of the CRIS paper

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

darts

Differentiable architecture search for convolutional and recurrent networks

ddpm-segmentation

Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplab-v3-plus-cityscapes

mIOU=80.12 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

deeplab-v3plus

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

deeplabv3.pytorch

PyTorch implementation of DeepLabv3

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

deeplabv3plus-pytorch-1

DeepLabv3, DeepLabv3+ and pretrained models on VOC & Cityscapes

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

diffsegmenter

Official implementation for "Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter"

diffugen

Generating Labeled Image Datasets using Stable Diffusion Models

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

distributed_tutorial

docker-curriculum

:dolphin: A comprehensive tutorial on getting started with Docker!

dockerjenkins_tutorial

A repository for items learned in my Getting Started with Jenkins and Docker tutorial series

efficientnet-pytorch

A PyTorch implementation of EfficientNet

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

fbnet

reproduction of the article