GitHub - TangibleResearch/HoprLabs: Test AI Ideas Using complex Math · GitHub
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HoprLabs
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HoprLabs
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<br>python3 -m venv .venv<br>.venv/bin/pip install -e ".[dev]"<br>.venv/bin/hoprlab estimate configs/example_transformer.yaml<br>.venv/bin/hoprlab simulate configs/example_transformer.yaml<br>.venv/bin/hoprlab benchmark<br>.venv/bin/hoprlab test-reliability configs/example_transformer.yaml
Or use the root Makefile:
make setup<br>make test<br>make build<br>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<br>85.1%
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Rust<br>5.1%
Makefile<br>2.7%
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