drzhanying Goto Github PK
Name: Ying Zhan
Type: User
Bio: PH.D, Beijing Normal University, China
Name: Ying Zhan
Type: User
Bio: PH.D, Beijing Normal University, China
CNN full scratch building
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
Autoencoder Demo for Fresh Machine Learning #5
:sunglasses: Curated list of awesome lists
The most cited deep learning papers
Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density
This is a matlab-code implementation of convolutional neural network
1D-CNN (checking utility of yann lecun's paper on hindi dataset) on Hindi News articles
Keras implementation of the conditional GAN.
A technical report on convolution arithmetic in the context of deep learning
Coursera Machine Learning - Python code
This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
Image Analysis, Classification and Change Detection in Remote Sensing
Deep Convolutional Generative Adversarial Networks
Implementation of some basic GAN architectures in Keras
# Deep Learning with Keras and Tensorflow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A place to collect papers that are related to deep learning and computational biology
DeepGold using convolution network features to learn mineral data
Deep Learning on Hyper-spectral Image Classification
Summaries and notes on Deep Learning research papers
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
A translation of the deep learning book (翻译《深度学习》)
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
DehazeNet: An End-to-End System for Single Image Haze Removal
an end to end dehaze tools
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Deep learning tutorials (2nd ed.)
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.