Pinned Repositories
amdim-public
Public repo for Augmented Multiscale Deep InfoMax representation learning
GradReg
Code for ICML 2014 paper: "Sample-based Approximate Regularization"
ICML-2015
Code for models in my ICML 2015 paper on VAEs, GSNs, etc.
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
Pseudo-Ensembles
Materials for implementing and reproducing results in the NIPS paper.
Sequential-Generation
Generative models and other stuff too, maybe, perhaps even probably
Philip-Bachman's Repositories
Philip-Bachman/amdim-public
Public repo for Augmented Multiscale Deep InfoMax representation learning
Philip-Bachman/NN-Python
The useful and used parts of NN-Dropout
Philip-Bachman/Pseudo-Ensembles
Materials for implementing and reproducing results in the NIPS paper.
Philip-Bachman/MatNets-NIPS
Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
Philip-Bachman/NN-Dropout
This code is for training feedforward neural networks with dropout.
Philip-Bachman/Sequential-Generation
Generative models and other stuff too, maybe, perhaps even probably
Philip-Bachman/ICML-2015
Code for models in my ICML 2015 paper on VAEs, GSNs, etc.
Philip-Bachman/MultiClassBoosting
Code for a variety of approaches to learning classifiers via boosting
Philip-Bachman/GradReg
Code for ICML 2014 paper: "Sample-based Approximate Regularization"
Philip-Bachman/Matrix-Learning
Code for algorithms and tests pertaining to sparse network basis learning
Philip-Bachman/Xcetera
Assorted code fragments
Philip-Bachman/CovCoding
Covariance Coding for Image Features
Philip-Bachman/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
Philip-Bachman/paper-notes
Random notes on papers, likely a short-term repo.
Philip-Bachman/Pragmatic-Bandits
code for performing pragmatic banditry