m397026474 Goto Github PK

amen

Anomaly Mining of Entity Neighborhoods (AMEN)

as-gcn

tensorflow-as-gcn

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-network-embedding

A curated list of network embedding techniques.

can

Co-embedding Attributed Networks

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

ctf-wiki

CTF Wiki Online, English version coming!

cvc

Coupon and voucher center

dane

deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

exercise

exercise for nndl

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fraudar

A wrapper of FRAUDAR algorithm

gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

geographconv

Semi-supervised User Geolocation via Graph Convolutional Networks

gmnn

Graph Markov Neural Networks

gnnpapers

Must-read papers on graph neural networks (GNN)

how-to-ask-questions-the-smart-way

本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。

keras

Deep Learning for humans

keras-gan

Keras implementations of Generative Adversarial Networks.

lihang-code

《统计学习方法》的代码实现

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

network-intrusion-detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15