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

sequence-to-sequence-learning. PyTorch implementation of "Sequence to Sequence Learning with Neural Networks"

decoupled-neural-interfaces. TensorFlow implementation of "Decoupled Neural Interfaces using Synthetic Gradients"

bayesian-neural-networks. Edward implementation of Bayesian Neural Networks

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

style-transfer. Keras implementation of "A Neural Algorithm of Artistic Style"

densenet-galaxy-zoo. Keras implementation of "Densely Connected Convolutional Networks" applied to the Galaxy Zoo Kaggle competition.

deep-learning-notes. Summaries and notes on deep learning courses and papers.

formula-one-analysis. Analysis of Formula 1 data using R