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GNNPapers

Must-read papers on graph neural networks (GNN)

sonnet

TensorFlow-based neural network library

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

pygcn

Graph Convolutional Networks in PyTorch

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

MT-Reading-List

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

awesome-image-captioning

A curated list of image captioning and related area resources. :-)

graphsage-simple

Simple reference implementation of GraphSAGE.

graph-based-nn

Graph Convolutional Networks (GCNs)

Graph-neural-networks

ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

Deeplab-v3plus

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

YouMayNotNeedAttention

Code for the Eager Translation Model from the paper You May Not Need Attention

NLRN

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

HKRM

Hybrid Knowledge Routed Module for Large-scale Object Detection (NerIPS2018)

fast-C-src

C source code for FAST corner detectors

Stack-Captioning

Stack-Captioning: Coarse-to-Fine Learning for Image Captioning

TPR-RNN

Code for the publication Learning to Reason with Third-Order Tensor Products.

NIPS2018_RCRN

Tensorflow Source code for "Recurrently Controlled Recurrent Networks" (NIPS 2018)

image-io

画像の入出力

pyfast

Python wrapper for the FAST corner detector.