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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

anglepy

arctic-captions

auxiliary-deep-generative-models

Implementation of auxiliary deep generative models for semi-supervised learning

bandcamp-deep-learning

A small project for classifying Bandcamp album covers by their genre

bpl

Bayesian Program Learning model for one-shot learning

caffe

Caffe: a fast open framework for deep learning.

cmu.10708.hw3

Sparse Inverse Covariance Estimator - Graphical Lasso & Neighbor Selection

cmu.10708.hw4

Gibbs Sampling and Metropolis-Hastings for Mixture of Gaussians + Variational Inference for Latent Dirichlet Allocation (LDA)

cocoa

communication-efficient distributed coordinate ascent

convnet

A GPU implementation of Convolutional Neural Nets in C++

convnet-benchmarks

Easy benchmarking of all public open-source implementations of convnets

cudamat

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

deepnet

Implementation of some deep learning algorithms.

deepnet-1

I implement RBM, DBN, Multi-modal DBN with Python and the majority of matrix operations are executed on GPU. In this project I employ Cudamat and Numpy python libs.

diabetic-retinopathy-code

Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection

diffusion-probabilistic-models

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

dropoutneuralnetwork

dropoutuncertaintycaffemodels

Dropout As A Bayesian Approximation: Code

eyescream

natural image generation using ConvNets

fetching

Fetching is an implementation of parallel predictive prefetching for Metropolis-Hastings. Prefetching algorithms use speculative execution to parallelize MCMC.

gsn

Efficient implementation of Generative Stochastic Networks

image-txt-multimodal

Automatically exported from code.google.com/p/image-txt-multimodal

iwae

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

lahmc

Look Ahead Hamiltonian Monte Carlo

lda

Gibbs sampling in Python.

multimodal-neural-language-models

Automatically exported from code.google.com/p/multimodal-neural-language-models

neural-network-papers

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"