philip-bachman Goto Github PK
Name: Philip Bachman
Type: User
Company: McGill University
Location: Montreal
Philip Bachman's Projects
amdim-public
Public repo for Augmented Multiscale Deep InfoMax representation learning
covcoding
Covariance Coding for Image Features
gradreg
Code for ICML 2014 paper: "Sample-based Approximate Regularization"
icml-2015
Code for models in my ICML 2015 paper on VAEs, GSNs, etc.
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
matnets-nips
Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
matrix-learning
Code for algorithms and tests pertaining to sparse network basis learning
multiclassboosting
Code for a variety of approaches to learning classifiers via boosting
nn-dropout
This code is for training feedforward neural networks with dropout.
nn-python
The useful and used parts of NN-Dropout
paper-notes
Random notes on papers, likely a short-term repo.
pragmatic-bandits
code for performing pragmatic banditry
pseudo-ensembles
Materials for implementing and reproducing results in the NIPS paper.
sequential-generation
Generative models and other stuff too, maybe, perhaps even probably
xcetera
Assorted code fragments
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