ml-lab Goto Github PK

gran

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

graph-projection-splitting-heuristic

Graph projection splitting heuristic for convex integer programming

graph-wavenet

Modifications to Graph Wavenet

graph_abstraction

Generate cellular maps of differentiation manifolds with complex topologies.

graph_convnets_pytorch

PyTorch implementation of graph ConvNets, NIPS’16

graph_nets

Build Graph Nets in Tensorflow

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

graphjet

GraphJet is a real-time graph processing library.

graphmemorynet

Memory-Based Graph Networks

graphnn

Training computational graph on top of structured data (string, graph, etc)

graphpipe

Machine Learning Model Deployment Made Simple

graphsage

Inductive representation learning on large graphs.

greykite

A flexible, intuitive and fast forecasting library

grid-anchor-based-image-cropping-pytorch

PyTorch implementation of "Grid anchor based image cropping"

grid-lstm

This attempts to implement [grid lstm](http://arxiv.org/abs/1507.01526).

grid-lstm-1

Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

griffin_lim

Implementation of the Griffin and Lim algorithm to recover an audio signal from a magnitude-only spectrogram.

grocerystoredataset

Grocery Store Dataset

groundnet

Repository for AAAI 2018 paper "Using Syntax for Referring Expression Recognition"

group-sparsity-sbp

Structured Bayesian Pruning, NIPS 2017

grt

gesture recognition toolkit

gru-d

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

gru-d-1

inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

gru4rec

GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.

gscnn

Gated-Shape CNN for Semantic Segmentation

gsdt

Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"

gslr

An algorithm for classification from a graph-sparse support