The collection of pre-trained, state-of-the-art AI models for ailia SDK
The BGP swiss army knife of networking
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Machine learning on FPGAs using HLS
Canarytokens helps track activity and actions on your network
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
automated censorship evasion for the client-side and server-side
Deep and online learning with spiking neural networks in Python
Crossbar.io - WAMP application router
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Training PyTorch models with differential privacy
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Auto-configure and then control your Midea M-Smart devices (Air conditioner, Fan, Water heater, Washer, etc) via local area network.
Python API and command line tool for Tuya WiFi smart devices using a direct local area network (LAN) connection or the cloud (TuyaCloud API).
A lightweight library for PyTorch training tools and utilities
Simulation of spiking neural networks (SNNs) using PyTorch.
A PyTorch library and evaluation platform for end-to-end compression research
Network Source of Truth & Network Automation Platform
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
High-quality implementations of standard and SOTA methods on a variety of tasks.
Brevitas: neural network quantization in PyTorch
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
List of papers studying machine learning through the lens of category theory
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.
Multi-class confusion matrix library in Python
OpenStack Networking (Neutron). Mirror of code maintained at opendev.org.
Python interface for igraph
Spider entire networks for juicy files sitting on SMB shares. Search filenames or file content - regex supported!
Subdomain enumeration tool
Unsupervised time series anomaly detection library
A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
TextFSM templates for parsing show commands of network devices
Concurrent networking library for Python
Reverse differential backup tool, over a network or locally.
Brian is a free, open source simulator for spiking neural networks.
π A bridge between decentralized social networks
LNbits, free and open-source Lightning wallet and accounts system.
Neural Network Compression Framework for enhanced OpenVINOβ’ inference
Specification for the Execution Layer. Tracking network upgrades.
Enterprise-grade landing zone for AI agent applications on Azure. Deploy the secure infrastructure, the agent app, or both β built on Microsoft Foundry and Microsoft Agent Framework, with Zero-Trust networking, observability and IaC.
Composable GAN framework with api and user interface
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
An introduction to network analysis and applied graph theory using Python and NetworkX
Converting Can (Controller Area Network) Database Formats .arxml .dbc .dbf .kcd ...
OCR engine for all the languages
Dataflow compiler for QNN inference on FPGAs
Python Netlink and PF_ROUTE library β network configuration and monitoring
CLI wrapper for basic network utilites on Mac OS X inspired with iproute2 on Linux systems - ip command.
Active learning for systematic reviews
Fast & Simple Resource-Constrained Learning of Deep Network Structure
GNS3 server
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Training neural models with structured signals.
Python wrapper for the Mastodon ( https://github.com/mastodon/mastodon/ ) API.
SchNetPack - Deep Neural Networks for Atomistic Systems
WiFi Penetration Testing & Auditing Tool