Show HN: HoprLabs – a Python lab for prototyping AI math ideas

Category: devtools

Tags: ai-training, prototyping, cli-toolkit

Score: 5.8/10 (Innovation: 6, Technical: 6, Documentation: 5, Utility: 6)

HoprLabs is a Python-based CLI and research toolkit for estimating and simulating AI training metrics like memory usage, training time, and token budget before committing to full model training. It combines config-driven estimation with optional native Rust/C backends for benchmarking, making it a practical prototyping tool for AI researchers and developers. The project addresses a real need in the AI community by helping avoid costly trial-and-error training runs.

Target audience: AI researchers, machine learning engineers

Repository: https://github.com/TangibleResearch/HoprLabs · Python · MIT

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