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graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

graph-nvp

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

graphrnn

graphscorematching

Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling

hgraph2graph

Hierarchical Generation of Molecular Graphs using Structural Motifs

hyperbolic_wrapped_distribution

i2l-meshnet_release

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

iclr19-graph2graph

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

image_transformer

Pytorch implementation of the image transformer for unconditional image generation

infograph

Code for ICLR paper "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

learning_to_learn_via_self-critique

The original code for the paper "Learning to Learn via Self-Critique".

mining-objects

Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image

moldqn-pytorch

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

molgan

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

movie-box-with-laravel-vuejs

A simple Laravel/VueJs web app for movie showcase, review, ratings and discussions.

multiple-objects-gan

Implementation for reproducing the results from the paper "Generating Multiple Objects at Spatially Distinct Locations"

n_gram_graph

naf

Experiments for the Neural Autoregressive Flows paper

naf_examples

examples of Neural Autoregressive Flows

nevae

Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019

normalizing-flows

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

orthogonality-in-cnns

[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.

pcl.pytorch

PyTorch codes for our paper "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

postmark-templates

Rock-solid transactional email templates for applications.

pvae

pytorch-cam

Class Activation Mapping written in PyTorch.

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques