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dgm2

dialogwae

Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)

dmtrl

[Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach

drawio-desktop

Official electron build of diagrams.net

drne

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

e2dtc

Source code for E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training. ICDE 2021.

elegantbook

ElegantBook: An Elegant LaTeX Template for Books

elegantlatex.org

https://elegantlatex.org/

elegantnote

ElegantNote: An Elegant LaTeX Template for Notes

elegantpaper

ElegantPaper: An Elegant LaTeX Template for Working Papers

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

far-ho

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

fewshotpapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

fmm

Fast map matching, a high performance algorithm accelerated by precomputation

free-deep-learning-books

A curated collection of free Deep Learning related eBooks

freia

Framework for Easily Invertible Architectures

gae

Implementation of Graph Auto-Encoders in TensorFlow

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

gat

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

gat2vec

representation learning on attributed graphs

gate

Graph Attention Auto-Encoders

gcc

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gem

geoman

Tensorflow Implement of GeoMAN, IJCAI-18

geoman-pytorch

a easy pytorch implement of GeoMAN

gmi

Graph Representation Learning via Graphical Mutual Information Maximization

gmvae

Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'

gnnpapers

Must-read papers on graph neural networks (GNN)