Pinned Repositories
2048
A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)
alfred-workflows
A collection of Alfred 2 workflows that will rock your world
allstate
Kaggle's Allstate Purchase Prediction Challenge
caffe
Caffe
CNN_sentence
CNNs for sentence classification
common
Common Python library, especially for text processing and controlling experimental runs
ComputingLinguistics
word2gauss
Gaussian word embeddings
word2vec
Python interface to Google word2vec
WORD_OBSERVATION_RBM_NCE
Train word embeddings with an RBM and Noise Contrastive Estimation training
fangyw's Repositories
fangyw/word2gauss
Gaussian word embeddings
fangyw/2048
A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)
fangyw/alfred-workflows
A collection of Alfred 2 workflows that will rock your world
fangyw/CNN_sentence
CNNs for sentence classification
fangyw/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
fangyw/fangyw.github.io
fangyw/fatal
Facebook Template Library: a library for fast prototyping of software in C++11 and up.
fangyw/folly
An open-source C++ library developed and used at Facebook.
fangyw/GroundHog
Library for implementing RNNs with Theano
fangyw/Hierarchical-Neural-Autoencoder
fangyw/kaggle-2014-criteo
fangyw/kaggle-avazu
fangyw/kaggle-criteo
Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
fangyw/LeetCode
fangyw/libfm
Library for factorization machines
fangyw/LintCode
fangyw/lstm-char-cnn
LSTM language model with CNN over characters
fangyw/meishan-code
fangyw/mshadow
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
fangyw/mxnet
Distributed deep learning framework for efficiency and flexibility
fangyw/parameter_server
A distributed machine learning framework.
fangyw/Predict-click-through-rates-on-display-ads
Display advertising is a billion dollar effort and one of the central uses of machine learning on the Internet. However, its data and methods are usually kept under lock and key. In this research competition, CriteoLabs is sharing a week’s worth of data for you to develop models predicting ad click-through rate (CTR). Given a user and the page he is visiting, what is the probability that he will click on a given ad? The goal of this challenge is to benchmark the most accurate ML algorithms for CTR estimation. All winning models will be released under an open source license. As a participant, you are given a chance to access the traffic logs from Criteo that include various undisclosed features along with the click labels.
fangyw/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
fangyw/swift_tutorial
fangyw/topicMap
Exploratory topic modeling with distributional semantics and interactive visualization
fangyw/treelstm
Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)
fangyw/TWeb
fangyw/vimrc
The ultimate Vim configuration: vimrc
fangyw/Welcome-to-Swift
Swift中文文档
fangyw/WRRBM
Reimplementation of Word Representation RBM, training word embedding using Restricted Boltzmann Machine