Ship Log created from imported FIT files

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Fail2ban action plugin that blocks IPs via ExaFS BGP RTBH rules.

Production-grade engineering skills for AI coding agents.

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing…

The premier source of truth powering network automation. Open source under Apache 2. Try NetBox Cloud free: https://netboxlabs.com/products/free-netbox-cloud/

A NetBox plugin that enables viewing and managing custom objects within a dedicated tab, making it easier to extend NetBox’s UI and functionality.

ExaFS is a tool for creation, validation, and execution of ExaBGP messages.

NetBox Plugin for service paths

Process for ExaBGP / source of pip package

Code from the mCoding sample videos

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

The agent engineering platform.

Python binding to Ammonia HTML sanitizer Rust crate

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Implementation of the discrete Fréchet distance

An open access book on scientific visualization using python and matplotlib

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…

An opinionated list of Python frameworks, libraries, tools, and resources

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

Endurance sports analysis library for Python

Performance Software for Cyclists, Runners, Triathletes and Coaches

Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we a…

VIP cheatsheets for Stanford's CS 230 Deep Learning

A document describing the HTTP/3 and QUIC protocols

JupyterLab computational environment.