GitHub Cool Projects Weekly Podcast
Weekly podcast to quickly catch up on cool GitHub projects
What it does
Quickly catch up on cool GitHub projects with our weekly podcast. Leveraging AI, we meticulously analyze and curate high-density, low-noise digest for you. Available on Spotify, Apple Podcasts, and Amazon for your weekly dose of inspiration and efficiency.
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GitHub Cool Projects Weekly Digest2024 · ▲8Quickly catch up with trending GitHub projects every week
- GRGitHub repository through a Podcast2024 · gitpodcast.com · ▲13
Understanding any GitHub repository is tough, especially a big one - this project aims to make it a tad bit easier by giving the listener a primer + some details on the specific repository. For some people (like me) - audio/visual medium is more easily understandable. So, I hope this project is helpful to some of them. This project was inspired by https://gitdiagram.com - so check it out as well, and maybe use them together for better understanding. Future plans: 1. To add more voices and let users choose most natural one (decide between OpenAI/Microsoft Speech) 2. Custom…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Source: Product Hunt launch ↗
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