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

Papers about developing deep Graph Neural Networks (GNNs)

比做算法的懂工程落地，比做工程的懂算法模型。

Papers on Computational Advertising

Geometric Deep Learning Extension Library for PyTorch

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

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

Testing Robustness Against Unforeseen Adversaries - Research Project

This was a project I completed with Eric Lou and Leo Jean-Baptiste of Stanford University for CS197

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

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

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

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

使用Bert，ERNIE，进行中文文本分类

Pytorch implementation of Neural Processes for functions and images 🎆

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star