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Releases: PacifAIst/Frugalsloth

FrugalSloth v0.3.3 — Browser-Native Neural Training

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@PacifAIst PacifAIst released this 21 May 06:41
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🦥 FrugalSloth v0.3.3

Train neural networks in your browser. Zero backend. Zero data leaks. Export to ONNX and deploy anywhere.

What's in this release

File What it is How to use
FrugalSloth-v0.3.3-Portable.exe Windows portable app Double-click and run. No install.
FrugalSloth Setup 0.3.3.exe Windows installer Traditional setup wizard.
frugalsloth-v0.3.3-web.zip Static website Unzip and open index.html, or upload to any web server / Cloudflare Pages / GitHub Pages.

Quick start

  1. Desktop: Download the Portable .exe, run it.
  2. Web: Download the .zip, extract it, double-click index.html.
  3. Demo: Load the built-in dataset to test training instantly.

Requirements

  • Locally: in any modern browser with WebGL (web build) in any OS
  • Online: starting from any low-end webhosting (e.g., Namecheap)
  • Windows 10/11 (desktop builds)

Privacy note

No data leaves your machine. Training happens locally via WebGL/WebAssembly. Your datasets, your weights, your control.


Full source code: See the main branch.