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pytorch-gain

An implementation of GAIN heatmap network in pytorch. Original paper: https://arxiv.org/abs/1802.10171

pytorch-multi-label-classifier

A pytorch implemented classifier for Multiple-Label classification

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

pytorchdiscreteflows

Discrete Normalizing Flows implemented in PyTorch

random-erasing

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

realnvp-with-pytorch

Real-valued non-volume preserving(RealNVP) implementation with PyTorch

release

Deep Reinforcement Learning for de-novo Drug Design

riemannian_latent_space

Riemannian metrics to measure distances in latent space of VAEs

roadtracer

seenet

Self-Erasing Network for Integral Object Attention

seenet_pytorch

This project is the impletation of SeeNet in PyTorch

sentence-vae

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

simgnn

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

spg

Self-produced Guidance for Weakly-supervised Object Localization

store-data-in-csv-file-using-tkinter-gui-application

Store data in csv file using tkinter

supair

Implementation of Sum-Product Attend-Infer-Repeat

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

text

Data loaders and abstractions for text and NLP

text-classification-pytorch

Text classification using deep learning models in Pytorch

textflow

thesis

Danqi Chen's PhD Thesis

tiny-imagenet

Image classification on Tiny ImageNet

unsupervised-object-localisation

Implementation of the algorithm developed during SRIP-2018

vae-clustering

Unsupervised clustering with (Gaussian mixture) VAEs

vae-cvae-mnist

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

variational-ladder-autoencoder

Implementation of VLAE

vgae_pytorch

This repository implements variational graph auto encoder by Thomas Kipf.

vgrnn

Variational Graph Recurrent Neural Networks - PyTorch

visualizingcnn

:see_no_evil:A PyTorch implementation of the 2014 ECCV paper "Visualizing and Understanding Convolutional Networks"

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch