endurance

AI-powered Garmin training insights & coaching

A project to collect, collate and share an open data set with contributions from users of the GoldenCheetah application

Endurance Coaching Skill for all AI agents

Tools like Strava Summit and Training Peaks are great but can be inflexible when analyzing data. Other tools like elevate exist but are part extension of strava summit part application. The goal of this project is to propose different tools for analysising endurance sports and create a standalone containerized tool.

Cycling Health Bar computation

A fluent endurance automation framework whose API helps you to fluently create your endurance tests defining repetitions and timeouts.

Smile‑driven BDSM predicament game using webcam detection and e‑stim control.

My First Official Blog.

Endurance WordPress Module Generator

Free, open-source endurance training: 256 science-based workouts, 9 training plans, 12 calculators and a route generator, built on a 6-zone system. Runs entirely in your browser, no account, no tracking.

AI training coach for any athlete. Weekly planning, session review, recovery tracking. Powered by Claude Code. Works with Garmin, Strava, CSV, or just describe your workout.

OpenCart website Performance Test

Open-source AI endurance-coaching plugin for ChatGPT and Codex — with real humans in the review loop.

Create Garmin workouts on Windows and upload them directly to Garmin Connect. Free and open-source workout builder for runners, cyclists and trail athletes.

OpenAI Codex skill for COROS running coaching, readiness, HRV, lap analysis, and marathon plans.

Konsolenprogramm zur Berechnung des optimalen Ausdauerpulses

A database to help you select your hydration and nutrition needs for an endurance event

An automated data analysis platform for FeRAM reliability and endurance testing

Local tool for migrating your Polar Flow workout history to Garmin Connect - currently focused on importing Polar's JSON-based GDPR export, built on an extensible provider framework.

Latency and Memory Analysis of Transformer Models for Training and Inference