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Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Caffe: a fast open framework for deep learning.
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
:books:中文突发事件语料库(Chinese Emergency Corpus)-上海大学-语义智能实验室
Multi-layer convolutional LSTM with Pytorch
A simple reproduction of Consistent Depth Maps Recovery from a Video Sequence based on MATLAB.
CUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
Face swapping, Image morphing, Image warping.
End-to-end, automatic face swapping pipeline
Non official project based on original /r/Deepfakes thread. Many thanks to him!
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Fast (aimed to "real time") Portrait Segmentation on mobile phone
Faster R-CNN
Repository for the code related to the paper: Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations - 3DV 2019
This is the project page of the paper "Flow-Motion and Depth Network for Monocular Stereo and Beyond''
An unofficial PyTorch implementation of GeoNet
Google Research
CVPR 2019 - Guided Stereo Matching
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
Demo image stabilization software for SET challenge 2015
The main should take a string as input from user, convert it to postfix notation using infixToPostfix(), and then call evaluatePostfix(). Cases that must be handled in the program - Single digit numbers - Multi digit numbers - Brackets - Floating point numbers - Negative numbers
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
SSD detection for KITTI
Knuth–Morris–Pratt algorithm
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.