Robyn is a Super Fast Async Python Web Framework with a Rust runtime.

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

YOLOv8 Face 🚀 in PyTorch > ONNX > CoreML > TFLite

2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Modern Time Series Forecasting with Python, published by Packt

PIKACHU: Temporal Walk Based Dynamic Graph Embedding for Network Anomaly Detection

[ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Collecting, preparing and merhing the Los Alamos National's Laboratory unified host data set and and redteam compromise events dataset to be used in a deep learning algorithm for lateral movement d…

Pytorch implementation of “Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement”

Feature extraction for CERT insider threat test dataset

VIINA: Violent Incident Information from News Articles on the 2022 Russian Invasion of Ukraine

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

Repository containing code for "How to Train BERT with an Academic Budget" paper

watch it on YouTube

Transformer-based Spectral Graph Neural Networks

A PyTorch implementation of GenAgg, a learnable aggregator that parametrises the function space of all standard aggregators.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Deep learning-based outlier/anomaly detection

Implementation of the Analytic Isolation Distance-based Anomaly (AIDA) detection algorithm

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Solution to the error - Some formula symbols might not be displayed correctly due to missing fonts symbol

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

The PyTorch implementation of LightGCN

How Powerful are Spectral Graph Neural Networks

Python script to extract as much structured information as possible from annual/quarterly reports.