Nitarshan's repositories
bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
variational-autoencoder
PyTorch implementation of "Auto-Encoding Variational Bayes"
robust-generalization-measures
Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
one-pixel-attack
PyTorch implementation of "One Pixel Attack for Fooling Deep Neural Networks"
neural-network-pruning-and-sparsification
TensorFlow implementation of weight and unit pruning and sparsification
decoupled-neural-interfaces
TensorFlow implementation of "Decoupled Neural Interfaces using Synthetic Gradients"
sequence-to-sequence-learning
PyTorch implementation of "Sequence to Sequence Learning with Neural Networks"
bayesian-neural-networks
Edward implementation of Bayesian Neural Networks
deep-learning-notes
Summaries and notes on deep learning courses and papers.
densenet-galaxy-zoo
Keras implementation of "Densely Connected Convolutional Networks" applied to the Galaxy Zoo Kaggle competition.
formula-one-analysis
Analysis of Formula 1 data using R
style-transfer
Keras implementation of "A Neural Algorithm of Artistic Style"
banana-smoothie-recipe-1776
blah blah blah blah blah blah blah blah blah blah
mlatcl.github.io
Repository for hosting the new website style.