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Public material for CS109
This repository is the implementation for ICLR 2019 paper "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA" by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.
Anomaly detection related books, papers, videos, and toolboxes
Atomic Line Spectral Estimation Toolbox
The most cited deep learning papers
A collection of important graph embedding, classification and representation learning papers with implementations.
Paper Lists for Graph Neural Networks
A curated list of awesome Machine Learning frameworks, libraries and software.
BCS Using Normal Product Priors
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"
Collection of Caffe source code for deep compressive sensing
This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Convolutional Neural Tangent Kernel
Compressed sensing with deep image prior algorithm
convolutional phase retrieval
数据科学的笔记以及资料搜集
Repo for the Deep Learning Nanodegree Foundations program.
Deep Learning Papers on Medical Image Analysis
Keras code and weights files for popular deep learning models.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
This repository contains implementations and illustrative code to accompany DeepMind publications
Code for the paper "Phase Retrieval Under a Generative Prior"
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
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.