Xiaoyong Pan's repositories
TF-recomm
Tensorflow-based Recommendation systems
betago
BetaGo: AlphaGo for the masses, live on github.
stochastic_depth_keras
Rewriting code for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382 in keras
CourseraML
I'm taking Andrew Ng's Machine Learning course on Coursera and doing the homework assigments... but, on my own in python because Octave? Really?
VQA_Demo
Visual Question Answering Demo on pretrained model
lime
Lime: Explaining the predictions of any machine learning classifier
diagnose-heart
Solution to win the second Annual Data science bowl
MarkovNetwork
Python implementation of Markov Networks for neural computing.
profDGE48
Code base for profiling highly replicated differential gene expression RNA-seq.
triplet_recommendations_keras
An example of doing MovieLens recommendations using triplet loss in Keras
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
General_Deep_Q_RL
General deep Q learning framework
sunny-side-up
Sentiment Analysis Challenge
metamers_jov
Code for "Testing models of peripheral encoding using metamerism in an oddity paradigm".
sigopt-examples
Optimization Examples with SigOpt
Spearmint-1
Spearmint Bayesian optimization codebase
AlphaGo
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
pycog
Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
keras-extra
Extra Layers for Keras to connect CNN with RNN
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
openface
Face recognition with deep neural networks.
DanQ
A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences
seya
Bringing up some extra Cosmo to Keras.
Black-Boxxy
Some experiments into explaining complex black box ensemble predictions.
warp-ctc
Fast parallel CTC.
Azimuth
Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency
adage
This is the repository for ADAGE (Analysis using Denoising Autoencoders for Gene Expression)