zhizhangxian Goto Github PK
Name: zhizhangxian
Type: User
Company: Y-tech(intern) Kwai
Location: BeiJing China
Blog: www.bilibili.com
Name: zhizhangxian
Type: User
Company: Y-tech(intern) Kwai
Location: BeiJing China
Blog: www.bilibili.com
curriculum design: 8 puzzle (BFS/DFS/A*)
A tutorial series for learning OpenCL
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Add bisenetv2. My implementation of BiSeNet
:dna: bp-ga algorithm implemented by pytorch
CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation (CVPR 2022)
a list of config-builder repo and tutorials which may help you to build your own config file
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
An official PyTorch implementation of the CRIS paper
: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++
Differentiable architecture search for convolutional and recurrent networks
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
Deep Residual Learning for Image Recognition
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).
A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)
PyTorch implementation of DeepLabv3
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.
DeepLabv3, DeepLabv3+ and pretrained models on VOC & Cityscapes
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 is FAIR's next-generation research platform for object detection and segmentation.
Official implementation for "Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter"
Generating Labeled Image Datasets using Stable Diffusion Models
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
:dolphin: A comprehensive tutorial on getting started with Docker!
A repository for items learned in my Getting Started with Jenkins and Docker tutorial series
A PyTorch implementation of EfficientNet
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
reproduction of the article
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.