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Name: Edward Adam Davis
Type: User
Name: Edward Adam Davis
Type: User
CBAM implementation on Keras
library to read/write .npy and .npz files in C/C++
Confidence driven image fusion based on TGV regularization
Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"
Keras code and weights files for popular deep learning models.
Official Implementation for Deep Guided Filter, CVPR 2018
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course
DeMoN: Depth and Motion Network
DenseNet implementation in Keras
Using Deep Learning in Stereo and Light Field images
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017
EPINET: A Fully-Convolutional Neural Network using Epipolar Geometry for Depth from Light Field Images
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
Toolkit to compute metric scores, create figures, and validate submissions
C++ re-implementation of fast Discriminative Scale Space Tracking.
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
A graphics backend for the browser (with a Torch7 client).
Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Weakly supervised learning of deep metrics for stereo reconstruction, ICCV17
Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)
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.