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deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
This repository contains implementations and illustrative code to accompany DeepMind publications
Learning Continuous Signed Distance Functions for Shape Representation
DeepSphere: a graph-based spherical CNN (PyTorch)
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
Deformable Convolutional Networks
Joint training of denoising and segmentation.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Deep Graph Mapper: Seeing Graphs through the Neural Lens
My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019
IQA: Deep Image Structure and Texture Similarity Metric
[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"
Deep Stereo Image Compression with Decoder Side Information Using Wyner Common Information
Edge-Conditioned Convolutions on Graphs
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles
Enhancing AMR-to-Text Generation with Dual Graph Representations (implementation for the EMNLP-IJCNLP-2019 paper)
A program to evaluate the quality of image segmentations.
Interpreting CNN Knowledge via an Explanatory Graph
Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].
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.