Pinned Repositories
Active_Learning_Variational_Inference_Deep_Networks
Introducing Active Learning for CNN under the light of Variational Inference
Adv_detect
Adversarial_Active_Learning
ongoing research work
Bayesian_DK
blocks
A Theano framework for building and training neural networks
blog
personnal web site
Comparison_numpy_slice
Some statistics about accessing data using numpy array or slice
DistributedDropout-1
version 2 of the project, with cleaner interface
Learning-Wasserstein-Embeddings
Keras implementation of Deep Wasserstein Embeddings
NICE
blocks implementation of the NICE model (Laurent Dinh, David Krueger, Yoshua Bengio)
mducoffe's Repositories
mducoffe/Learning-Wasserstein-Embeddings
Keras implementation of Deep Wasserstein Embeddings
mducoffe/Active_Learning_Variational_Inference_Deep_Networks
Introducing Active Learning for CNN under the light of Variational Inference
mducoffe/NICE
blocks implementation of the NICE model (Laurent Dinh, David Krueger, Yoshua Bengio)
mducoffe/Adv_detect
mducoffe/Adversarial_Active_Learning
ongoing research work
mducoffe/Bayesian_DK
mducoffe/blocks
A Theano framework for building and training neural networks
mducoffe/blog
personnal web site
mducoffe/Comparison_numpy_slice
Some statistics about accessing data using numpy array or slice
mducoffe/DistributedDropout-1
version 2 of the project, with cleaner interface
mducoffe/TD_Deep_Learning
testing basic deep architectures
mducoffe/fuel
A data pipeline framework for machine learning
mducoffe/Hello_word
github tutorial to learn the basic
mducoffe/hyperdeep
Deep learning for Hyperbase
mducoffe/ICLR_2016
mducoffe/JADT_2016
Deep learning for linguistic analysis
mducoffe/mducoffe.github.io
mducoffe/miniature-lana
mducoffe/picklable_itertools
itertools. But picklable.
mducoffe/random_test_VAE
small experiments using VAE on MNIST and SVHN
mducoffe/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
mducoffe/VAE_MNIST_exp
reusing Joost van Amersfoort () to use the latent variables p(z|x) as features to train a classifier
mducoffe/web_site
personnal web site