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Name: Gabriel
Type: User
Bio: I am an ex-academic who has studied high energy physics, biological visual processing, applications of deep learning to neuroscience, and machine learning.
Gabriel's Projects
annealed_importance_sampling
Implementation, in both tensorflow as numpy, of annealed importance sampling.
celltypessn
cpclibrispeech
A lightweight implementation of Contrastive Predictive Coding (CPC)
curious_network
Me playing around with various methods to instill robust curiosity in a network.
data
files to generate and mess with my data
deep_networks_with_context
gsm_v1
My implementation of the GSM model and related code for simulating primary visual cortex.
hierarchical_predictive_network
lasagne
Lightweight library to build and train neural networks in Theano
my_modules
my_perceiver
ssm
Bayesian learning and inference for state space models
svae
This is the implementation of the work associated with our sparse coding variational autoencoders paper: https://www.biorxiv.org/content/early/2018/08/29/399246
switching_system
tensorflow_workshop
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