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Type: User
Company: NUST
Location: NanJing
Type: User
Company: NUST
Location: NanJing
Implementation of Neural Color Transfer between Images by PyTorch.
:octocat: Open Source & Licence Badges
One-shot Learning for Semantic Segmentation
A simple single layer perceptron neural network classifier for linear classification
Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Latex code for making neural networks diagrams
[CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
A Pytorch implementation of Pyramid Stereo Matching Network
Pyramid Stereo Matching Network (CVPR2018)
Pyramid Stereo Matching Network-tensorflow
Pyramid Scene Parsing Network, CVPR2017.
PyTorch implementation of DEC (Deep Embedding Clustering)
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Image-to-Image Translation in PyTorch
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Unofficial pytorch implementation of Image Style Transfer Using Convolutional Neural Networks [Gatys+, CVPR2016]
implementation of FCN with pytorch
《Pytorch模型训练实用教程》中配套代码
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
Image processing in Python
Pytorch Implementation for TPAMISI manuscript: Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation
CNNs for semantic segmentation and monocular depth estimation in Pytorch with cross experiments and saliency map analysis
SegStereo: Exploiting Semantic Information for Disparity Estimation
🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
A PyTorch-based Speech Toolkit
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.