wanjinchang Goto Github PK
Name: wyz
Type: User
Bio: Focus on computer vision algorithm, deep learning algorithm and etc.
Location: Shenzhen,CHINA
Name: wyz
Type: User
Bio: Focus on computer vision algorithm, deep learning algorithm and etc.
Location: Shenzhen,CHINA
Image Processing for Basic Depth Completion
A collection of IPython notebooks covering various topics.
RNN for Spoken Language Understanding
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
Information Theoretic Learning Auto-encoders
Java Neural Network Library
Project for our CVPR2016 paper "Joint Unsupervised Learning of Deep Representations and Image Clusters"
Just for something to remember.
Code for Kaggle-CIFAR10 competition. 5th place.
Keras tutorial for Kaggle 2nd Annual Data Science Bowl
Code for the Kaggle Ensembling Guide Article on MLWave
Code for the Kaggle competition "Bag of Words Meets Bags of Popcorn"
This project contain my code for competition in kaggle.
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)
High-Speed Tracking with Kernelized Correlation Filters
Deep Learning Chinese Word Segment
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
Keras implementation of class activation mapping
Chinese keras documents with more examples, explanations and tips.
Keras autoencoders (convolutional/fcc) [proof of concept]
Keras implementation of Deep Convolutional Generative Adversarial Networks
A Keras implementation of the UCLMR approach to generating embeddings for Unicode emoji from their descriptions.
Extra Layers for Keras to connect CNN with RNN
Training an InceptionV3-based image classifier with your own dataset
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.