The next generation of OpenLane, rewritten from scratch with a modular architecture

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

Pcap-splitter allows you to split a pcap file into subsets of pcap files based on sessions, flows, ip addresses, number of bytes, number of network packets...

PyTorch implementation of NVIDIA WaveGlow with constant memory cost.

GNN4ID: A Toolset for Crafting Graph Neural Network-Based NIDS Datasets

Normalizing flows for neuro-symbolic AI

Sample code for triggering Globus Flows using the Python watchdog library.

Repository to host the app created to explore the open-source aviation flow and emission database, presented at the 11th OpenSky Symposium (https://journals.open.tudelft.nl/joas/article/view/7201). The code used to create the dataset itself can be found at: https://github.com/AeroMAPS/AeroSCOPE_dataset

Network Flows Optimization - Shortest Path, Max Flow and Min Cost Flow Algorithms in Python

A Python package to quickly decompose weighted graphs into weights paths, under various models.

Project of Network Management

This is a fork of deepsound-project/samplernn-pytorch and we mody it to increase the generation speed of sampleRNN model by using IAFs (inverse autoregressive flows)

Python framework for easy control algorithms writing with many ready to use blocks. Can be seen as a combination of Node-RED and PLC ladder programming.

(Altger. fliessen, fliessend, engl. flowing)

Modular Agentic News AI System built with CrewAI · Automates research, writing, and summarization of real-time news using LLM-powered agents.

CrewAI is an open-source Python framework designed for building and orchestrating multi-agent AI systems. Following the tutorial by Tyler AI on YouTube, I learned the capabilities and what you can do with crewAI.

simple dependency graph and flow network analysis

Smart IoT system for managing people congestion in delimited spaces.