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factorizablenet

Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation

factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

fishleg

Coming soon...

flexible-fairness-constraints

Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"

fourierflow

[ICLR 2023] Factorized Fourier Neural Operators

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

fs-dgpm

Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".

fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

g2pk

g2pK: g2p module for Korean

gae-pytorch

Graph Auto-Encoder in PyTorch

gat

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

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

git-team

git-training

:octocat: Don't think about git, just do git

gits

gmatch4py

A graph matching library for Python

gmm-torch

Gaussian mixture models in PyTorch.

gmnn

gnn-rl-model-compression

GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

google-research

Google Research

gpm

Official Code Repository for "Gradient Projection Memory for Continual Learning"

gradient-pruning

graph-neural-pde

Continuous Diffusion Graph Neural Network

graph-rcnn.pytorch

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

graph-representation-learning

Autoencoders for Unsupervised Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

graph_nets

Build Graph Nets in Tensorflow

graph_tool

groundedscan

Grounded SCAN data set.

gumbel-softmax-pytorch

categorical variational autoencoder using the Gumbel-Softmax estimator