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A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet …
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.
akanametov / yolo-face
Forked from ultralytics/ultralyticsYOLOv8 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
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
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