giovedì 22 ottobre 2026

🚀 workout.cool: The Modern Fitness Coaching Platform

🚀 workout.cool: The Modern Fitness Coaching Platform

🎯 A Comprehensive Fitness Platform

A modern fitness coaching platform that lets you create workout plans, track progress, and access a vast exercise database with detailed instructions and video demonstrations.

💡 The Story Behind workout.cool

This project was born to revive what we lost. As the primary contributor to the original workout.lol, I witnessed its abandonment after video licensing costs became prohibitively expensive. Rather than let this valuable work disappear, I created a fresh, modern implementation — an evolution, not just a revival.

👥 Built For You

Whether you're a fitness enthusiast or a developer, this platform is built for the community. Track your progress, manage your routines, and explore a comprehensive exercise database with rich video demonstrations.

📱 Quick Start

🐳 With Docker
  1. Copy environment variables
  2. Start everything for development
  3. cp .env.example .env
    make dev
  4. Open your browser
💻 Without Docker
  1. Install dependencies
  2. Copy environment variables
  3. Start the development server
  4. pnpm install
    cp .env.example .env
    pnpm dev

🔗 Join the Rescue Mission

Star this repo, join our Discord, report issues, and share feature requests — we're listening to every single one.

🚀 [https://github.com/Snouzy/workout-cool](https://github.com/Snouzy/workout-cool)

❓ FAQ

Q: How do I install workout.cool?

A: Clone the repository, run pnpm install, and copy .env.example to .env.

Q: Can I use Docker to run it?

A: Yes! Use the Docker build and run commands to deploy with a PostgreSQL database.

Q: What license applies to this project?

A: It's licensed under the MIT License — free to use and modify freely.

heartlib: Open-Source Music Foundation Models

🎵

heartlib: Open-Source Music Foundation Models

The most powerful open-source music generation model of 2026

🎶

A family of open-sourced music foundation models

  • 🎼 HeartMuLa — music language model generating music conditioned on lyrics and tags with multilingual support
  • 🎧 HeartCodec — 12.5 Hz music codec with high reconstruction fidelity
  • 📝 HeartTranscriptor — whisper-based model tuned for lyrics transcription
  • 🔗 HeartCLAP — audio–text alignment model for unified embedding space
🚀

Latest releases — 7B and 3B versions

  • 🔥 HeartMuLa-7B — comparable to Suno in musicality, fidelity and controllability
  • 🎬 MuLaCover — controllable cover-song and music-remix model
  • 🎧 HeartCodec-oss-encoder — audio tokenization and reconstruction
🖥️

Local deployment in one step

... git clone https://github.com/HeartMuLa/heartlib.git

... pip install -e .

⚖️

License & citation

... Apache 2.0 License

❓

FAQ

Q: How do I generate music?

A: ... python ./examples/run_music_generation.py --model_path=./ckpt --version="3B"

Q: What versions are available?

A: ... HeartMuLa-3B and HeartMuLa-7B (7B being the latest)

Q: How do I install it locally?

A: ... git clone ... / pip install -e .

🎵 Start generating music with heartlib today!

... https://github.com/HeartMuLa/heartlib

mercoledì 21 ottobre 2026

colibri: Tiny Engines, Immense Models

🐦

colibri: Tiny Engines, Immense Models

Run frontier MoE models on hardware you already own

(/)

A mixture-of-experts model of hundreds of billions of parameters

Pure C, zero dependencies, experts streamed from disk.

🧠

13 engines ready — from 35B to 2.8T parameters

  • 🐦 GLM-5.2 / 5.3 (744B MoE)
  • 🤖 DeepSeek V4 Flash & V4.1 (284B / 552B)
  • 🔥 Qwen3.8-Flash-Next (125B)
  • 🎨 Qwen-Image-2.1 (text to picture)
  • 🧩 Decision models: Laya, GLiNER2.5, Clef
🖥️

No GPU required — CPU runs everything, GPU accelerates

  • 🖥️ CPU: every engine runs with nothing else installed
  • 🎮 Vulkan: any GPU with 1.2 driver
  • 🚀 CUDA: NVIDIA cards with toolkit support
  • 📦 Multi-drive: read experts from NVMe, two drives +37.5%
⚡

One step to get started

... ./start-here.sh — asks for your machine specs, recommends a model, builds or downloads the engine, and opens the dashboard.

... ./start-here.sh --yes — no questions, go straight to the recommendation.

🧩

System One: make models answer choices, not paragraphs

... POST /v1/systemone — gives the model a document and only allowed options, returning probabilities and confidence.

❓

FAQ

Q: Can I run large models on a laptop?

A: Yes — on a 25 GB laptop, every expert streams from disk and runs correctly, though slower.

Q: Do I need a GPU?

A: No — every engine runs on CPU; a GPU is optional but faster for the hot experts.

Q: How do I connect colibri to other apps?

A: Yes — use the OpenAI-compatible API (base URL http://127.0.0.1:8000/v1) or the Anthropic-compatible endpoint; existing clients work unmodified.

🎉 Get started now and watch your own hardware run frontier models!

... https://github.com/JustVugg/colibri

🚀 workout.cool: The Modern Fitness Coaching Platform

🚀 workout.cool: The Modern Fitness Coaching Platform 🎯 A Comprehensive Fitness Platform A modern fitness coaching platform that let...