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

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HoprLab is a CLI and research toolkit for simulating AI training math before spending time and money on model training.

The working MVP lives in hoprlab/. It estimates model size, activation memory, optimizer memory, approximate VRAM usage, training time, token budget, config risks, benchmark speed, and reliability.

Quick Start

cd hoprlab python3 -m venv .venv .venv/bin/pip install -e ".[dev]" .venv/bin/hoprlab estimate configs/example_transformer.yaml .venv/bin/hoprlab simulate configs/example_transformer.yaml .venv/bin/hoprlab benchmark .venv/bin/hoprlab test-reliability configs/example_transformer.yaml

Or use the root Makefile:

make setup make test make build make reliability

Native Backends

HoprLab includes optional native benchmark modules:

Rust: hoprlab/native/rust

C: hoprlab/native/c

The Python CLI falls back gracefully when native backends are unavailable.

License

MIT

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Test AI Ideas Using complex Math

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Python 85.1%

C 7.1%

Rust 5.1%

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