UGFraud UGFraud is an unsupervised graph-based fraud detection toolbox that integrates several state-of-the-art graph-based fraud detection algorithms. It can be applied to bipartite graphs (e.g., user-product graph), and it can estimate the suspiciousness of both nodes and edges. The implemented models can be found here. The toolbox incorporates the Markov Random Field (MRF)-based algorithm, dense-block detection-based algorithm, and SVD-based algorithm. For MRF-based algorithms, the users only need the graph structure and the prior suspicious score of the nodes as the […]

auto_tweet_wordcloud This repos is auto action which generating a wordcloud made by Twitter. Preconditions Install Python dependencies pip install -r requirements.txt Download neologd Dictionary sh scripts/download_neologd_dict.sh Usage python src/main.py Demo Default Default Alpha Man Face in Profile Man Face in Profile Alpha Twitter Bird Twitter Bird Alpha GitHub https://github.com/tubone24/auto_tweet_wordcloud    

FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet, title={FNet: Mixing Tokens with Fourier Transforms}, author={James Lee-Thorp and Joshua Ainslie and Ilya Eckstein and Santiago Ontanon}, year={2021}, eprint={2105.03824}, archivePrefix={arXiv}, primaryClass={cs.CL} } GitHub https://github.com/rishikksh20/FNet-pytorch