Stars
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A curated list of data mining papers about fraud detection.
A toolkit for developing and comparing reinforcement learning algorithms.
A Deep Graph-based Toolbox for Fraud Detection
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
Text representation works, such as : paper, code, review, datasets, blogs, thesis and so on.
ShadowsocksR update rss, SSR organization
Facilitating the design, comparison and sharing of deep text matching models.
A collection of important graph embedding, classification and representation learning papers with implementations.
Must-read papers on graph neural networks (GNN)
An open source framework for seq2seq models in PyTorch.
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
abusing github commit history for the lulz