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a-toy-example-of-library-management-system

Provide the basic function of labrary management system. Reference of https://github.com/Darcy382/Library_log

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

catgan-pytorch

A pytorch implementation of "Unsupervised Learning with Categorical Generative Adversarial Networks"

catgan_pytorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

centernet-pytorch

这是一个centernet-pytorch的源码，可以用于训练自己的模型。

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deepxde

A library for scientific machine learning and physics-informed learning

dem_hyperelasticity

A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on the idea of minimum potential energy. The method is named "Deep Energy Method".

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

dgcn

Dual Graph Convolution Networks

eto

code of the publication-A 3D structure mapping-based efficient topology optimization framework

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

fisher-information

Code to calculate Fisher information

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.

glcn-tf

Graph Learning Convolution Network

glcnn

Semi-supervised node classification via graph learning convolutional neural network

graphsage

Representation learning on large graphs using stochastic graph convolutions.

h-gcn

Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)

hands-on-generative-adversarial-networks-with-pytorch-1.x

Hands-On Generative Adversarial Networks with PyTorch 1.x, Published by Packt

hgat

A novel semi-supervised node classification algrithm

layout-generator

lds-gnn

Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

lggan

code of the publication-A generative adversarial active learning method for mechanical layout generation

lgvae

code of the publication 《A domain knowledge-informed design space exploration methodology for mechanical layout design》

linear_graph_autoencoders

Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)