nitarshan

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

simclr

PyTorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

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

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mlatcl.github.io

Repository for hosting the new website style.

nitarshan

verba

A simple blog engine for node.js