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graph_nets

Build Graph Nets in Tensorflow

graph_nets-1

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graspy

Python package for graph statistics

gravisto

greedy_infomax

Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

griffon-vm

Griffon Data Science Virtual Machine

grobid

A machine learning software for extracting information from scholarly documents

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

ground

An open-source, vendor-neutral data context service.

grounded-language-learning-in-pytorch

Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)

groundhog

Library for implementing RNNs with Theano

grounding-embeddings

Comparing human-based and machine-based meaning.

groupy

Group Equivariant Convolutional Neural Networks

grover

Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

gs-algo

Graphstream algo

gs-core

Graphstream core

gs-ui

GraphStream additional user interfaces

gsn

Efficient implementation of Generative Stochastic Networks

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

gt4sd-core

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

gtn

(partial) replication of results from https://arxiv.org/abs/1912.07768

gtn-1

gtn-2

Automatic differentiation with weighted finite-state transducers.

gtos

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

gtsrb.torch

Traffic sign recognition with Torch

guesstimate-app

Create Fermi Estimates and Perform Monte Carlo Estimates

guetzli

Perceptual JPEG encoder

guided-diffusion

guided-evolutionary-strategies

Guided Evolutionary Strategies

gulpio

Binary storage format for deep learning on videos.