Yang Gu's repositories
deep-learning
Collection of deep learning resources.
EM-Tutorial
My notes about expectation maximization. (Heavily taken from the referenced papers and tutorials)
boosting_notes
Notes for learning boosting algorithms.
pgm-reading
sample/demo codes when reading Koller's PGM book
pymc-examples
PyMC Example Notebooks
Arcade-Learning-Environment
The Arcade Learning Environment (ALE) -- a platform for AI research.
CNN_sentence
CNNs for sentence classification
ctr_prediction
papers related to ctr prediction, resources, test codes on toy problems.
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
DeepLearnToolbox
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.
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
letterpress_board
effort to make an initial board like letterpress in python
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
rushhour_solver
A breath-first-search solution finder for rush hour puzzles.
spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
svm_tutorial
SVM Tutorial
tensorflow
Computation using data flow graphs for scalable machine learning
vowpal_wabbit
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm