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eigenlibsvm

A wrapper for LibSVM that lets you train SVM's directly on Eigen library matrices in C++

emscripten

Emscripten: An LLVM-to-JavaScript Compiler

en-transformer

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

envlp

Automatically exported from code.google.com/p/envlp

fast-neural-style-transfer

Fast Neural Style Transfer in Pytorch

fastdna

fastgae

Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Remy, M. Moussallam and M. Vazirgiannis (2020)

fastgcn-matlab

FastGCN in Matlab and companion codes for analysis of SGD with biased but consistent gradient estimators

fold

Deep learning with dynamic computation graphs in TensorFlow

fragat

FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction

g2o

g2o: A General Framework for Graph Optimization

gae-pytorch

Graph Auto-Encoder in PyTorch

gcnn_keras

Graph convolution with tf.keras

gcxgcms

geo-gcn

The official implementation of the geo-GCN architecture.

giotto-tda

A high-performance topological machine learning toolbox in Python

github

google-research

Google AI Research

gprt

Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

graph-neural-networks-roadmap

graph-tutorial.pytorch

Pytorch Tutorial for Non-Euclidean Graph Representations

graseq

GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. In CIKM 2020.

groupnormalization-keras

keras implementation of group normalization. https://arxiv.org/abs/1803.08494

gru-cuda

gwthelloworld

hamnet

null

hash-library

Portable C++ Hashing Library

icml18-jtnn

imde

Image Multi-Distortion Estimation