chenglongchen Goto Github PK
Name: Chenglong Chen
Type: User
Company: Shopee
Bio: 8+ years experience of applying NLP/Deep Learning/Machine Learning in a wide range domain including Chatbot, Search and Recommendation and Ads.
Location: Shenzhen
Name: Chenglong Chen
Type: User
Company: Shopee
Bio: 8+ years experience of applying NLP/Deep Learning/Machine Learning in a wide range domain including Chatbot, Search and Recommendation and Ads.
Location: Shenzhen
An attempt of training DNN models to predict ad click-through rate, implemented with Theano.
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Deep Residual Learning for Image Recognition
A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
deepFM 実装
NR and FR IQA models based on Deep Convolutional Neural Networks
Summaries and notes on Deep Learning research papers
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Demo of running NNs across different frameworks
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.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Accompanying code for "Deep Reinforcement Learning that Matters"
自动构建中文词库:build dict from large chinese text using unsupervised method,algorithm:http://www.matrix67.com/blog/archives/5044
Criteo/Kaggle Competition of CTR prediction
Distributed word embedding
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Deep Learning for NLP resources
Deformable part descriptor project page
This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.
A series of challenge problems for students learning about machine translation
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks
A theano implementation of Hinton's dropout.
Deeply-supervised Nets
Dynamic Memory Network implementation in TensorFlow
Tensorflow tutorial of building different dynamic recurrent neural network
Dynamic neural network library
Enterprise Charts | Github pages : http://ecomfe.github.io/echarts/index-en.html | Email : [email protected] | Baidu Hi : 1379172 |
TensorFlow tutorials and best practices.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
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.