Open-source Next.js template for building apps that are fully generated by AI. By E2B.

Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses

TGN: Temporal Graph Networks

The Memory layer for your AI apps

Code for FreeTraj, a tuning-free method for trajectory-controllable video generation

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

This is the official implementation of Deep Orthogonal Hypersphere Compression for Anomaly Detection, ICLR 2024 (Spotlight).

Anti-money-laundering with GNNs

GLASS: GNN with Labeling Tricks for Subgraph Representation Learning

Fraud Detection using various GNN models

Exploring a newer GNN architecture called Graph Isomorphism Networks (GIN)

Copilot for jupyter lab

Graph Neural Network Library for PyTorch

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Multi-GNN architectures for Anti-Money Laundering.

The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few represent money laundering. The data i…

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Transformer: PyTorch Implementation of "Attention Is All You Need"

"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

A simple ~200 line Python script I wrote in 2016 for visualising rule 90.

Gluttonous Snake Project written in Python3.

Gene Set Enrichment Analysis in Python