data mining project repository
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
code for training a word level CNN for sentiment classification on yelp's review dataset 2016.
Deep Convolutional Generative Adversarial Networks
the data and ipython notebook of my attempt to solve the kaggle titanic problem
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
Source Code for the book: Machine Learning in Action published by Manning
Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
Chainer implementation of Double Deep Q-Network (Double DQN)
Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow
Image retrieval system demo based on caffe and lsh
Code for the Kaggle Ensembling Guide Article on MLWave
Containing codes of participation in Kaggle competitions.
Codes related to activities on AV including articles, hackathons and discussions.
Speech recognition module for Python, supporting CMU Sphinx, Google Speech Recognition, Wit.ai, IBM Speech to Text, and AT&T Speech to Text.
A Little Book of Python for Multivariate Analysis
CNNs for sentence classification
spark pivot examples
Fully differentiable deep-neural decision forest in tensorflow
the code corresponding to my csdn blog naive bayes series