TokenEconomizer
Experience-Driven Black-Box Cost Control for Coding Agents
Build, train, inspect and export physics-informed neural networks.
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Margam is a visual builder for Physics-informed neural network (PINN) library.
Taken from the repository README
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Read the full README ↗Margam is a visual builder for physics-informed neural networks. Connect reusable components to define a problem, train a PINN, inspect results and export predictions.
Use Python 3.14 and uv. Run commands from the repository
root and reuse its single .venv.
For a fresh checkout without an environment:
uv venv --python 3.14 .venv
uv pip install --python .venv/bin/python -e .
Launch Margam:
.venv/bin/python -m margam.ui
See installation help for setup details.
F1 → User manual opens the locally built guide. Build the manual once to enable it.
Read the repository instructions and extension guide.