hirods21

fast_template

A template for really easy blogging with GitHub Pages

diffpool

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

GAN_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

CoordConv

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

pytorch_modelsize

Estimates the size of a PyTorch model in memory

bgd

Implementation of Bayesian Gradient Descent

RelativisticGAN

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pytorch-cifar

95.47% on CIFAR10 with PyTorch

SRGAN-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

generative-compression

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

reading-list

My reading list.

lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

pytorch-deep-generative-replay

PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017

ewc.pytorch

An implementation of EWC with PyTorch

Wasserstein-AutoEncoders

PyTorch implementation of Wasserstein Auto-Encoders

ReducedVarianceReparamGradients

Reducing Reparameterization Gradient Variance code.

SGDR

variational-continual-learning

Implementation of the variational continual learning method

Rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

playground

Play with neural networks!

unreal

Reinforcement learning with unsupervised auxiliary tasks