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996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

ad-papers

Papers on Computational Advertising

anomaly-detection

awesome-aiops

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

awesome-deep-gnn

Papers about developing deep Graph Neural Networks (GNNs)

benchmarking-gnns

Repository for benchmarking graph neural networks

caligraphyrecover

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.

dive-into-dl-pytorch

Dive into Deep Learning (动手学深度学习) with PyTorch.

gitskills

gnndetection

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

graphreshape

Code implementation of the paper: Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks, which has been submitted to NeurIPS 2020 for blind review.

jiukunquant

jiukunquant1

learngit

logsys

models

Models and examples built with TensorFlow

nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

paper-reading

深度学习论文阅读、数据仓库实践体验。比做算法的懂工程落地，比做工程的懂算法模型。

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

tokenlog

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.