jgyoung33 Goto Github PK
Name: Jiangangyang_CAS
Type: User
Bio: Computer vision
Location: Beijing
Name: Jiangangyang_CAS
Type: User
Bio: Computer vision
Location: Beijing
ARCNN-FAST tensorflow implementation
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
Extract training data set suitable for YOLO darknet from COCO database
Code for the paper "Adversarial Examples Are a Natural Consequence of Test Error in Noise"
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks[matcaffe]
Code for "Efficient feature extraction, aggregation and classification for action recognition" (Kantorov, Laptev, CVPR'14)
Unsupervised Domain Adaptation Papers and Code
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-
Deep Multi-scale CNN for Dynamic Scene Deblurring
Mirror from https://square-src.de/gitlab/franzi/study-thesis. This is my study thesis - a reference implementation of the depth-aware motion deblurring algorithm by Xu and Jia.
[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
edsr for NAIC
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
Face recognition using Tensorflow
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Pytorch implementation of FlowNet by Dosovitskiy et al.
Implementation of Graph Convolutional Networks in TensorFlow
Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/
just another repository
Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
A Keras implementation of YOLOv3 (Tensorflow backend)
Convolutional neural network model for video classification trained on the Kinetics dataset.
Implementation of Non-Maximum Suppression 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.