eclique

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

primitive

Reproducing images with geometric primitives.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

lucid

A collection of infrastructure and tools for research in neural network interpretability.

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

MUNIT

Multimodal Unsupervised Image-to-Image Translation

DeepLearningImplementations

Implementation of recent Deep Learning papers

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

DataSciComp

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

DoYouEvenLearn

Essential Guide to keep up with AI/ML/DL/CV

DRIT

Learning diverse image-to-image translation from unpaired data

inat_comp

iNaturalist competition details

colorization-pytorch

PyTorch reimplementation of Interactive Deep Colorization

ppgn

Code for paper "Plug and Play Generative Networks"

pytorch-MNIST-CelebA-cGAN-cDCGAN

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

unrestricted-adversarial-examples

Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge

dataset

hyperdash-sdk-py

Official Python SDK for Hyperdash

dl_cshse_ami

Материалы курса "Глубинное обучение", ФКН ВШЭ, бакалаврская программа ПМИ

infoGAN-pytorch

implement infoGAN using pytorch

PerceptualGAN

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

issue-tracking

Questions, Help, and Issues for Comet ML

inat_comp_2018

CNN training code for iNaturalist 2018 image classification competition

Multiple-smi

Python bindings for pyNVML and psutil library over network

pytorch-explain-black-box

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

RISE

Implementation of "RISE: Randomized Input Sampling for Explanation of Black-box Models"