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gnn_note

图神经网络整理

gpsmachinelearning

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

grail

"GRAIL: Efficient Time-Series Representation Learning"

gram

Graph-based Attention Model

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-transformer-pytorch

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

graph_datasets

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

graphgan

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

gretel-path-extrapolation

Implementation for the paper "Extrapolating paths with graph neural networks"

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

how_to_make_a_text_summarizer

This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

ibot

iBOT: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

image-classification-using-svm

This application uses LIBSVM and PIL to perform image classification on a set of images.

imageclassification-pytorch

infomaxvae

InfoMax-VAE pytorch implementation

information-maximizing-variational-autoencoders

A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et al.

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

interpretablenlp

A list of publications on NLP interpretability (Welcome PR)

intro_dgm

An Introduction to Deep Generative Modeling: Examples

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

irl

Maximum Entropy Inverse reinforcement Learning for my thesis

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

iterm2-ohmyzsh-powerlevel9k

julia-deeplearning

Julia implementations of deep learning methods.

julia_tutorials

Tutorials on Julia topics

juliatorch

Using PyTorch in Julia Language

k-shortest-path

Computes K-shortest path for a given network topology. This is based on Yen's algorithm