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#ai-for-science

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

2 records
Tagged “ai-for-science”Ranked by health index
PyPI
88Excellenthealth index
chaobrain/saiunit
Unit-aware computations for AI-driven scientific computing, compatible with NumPy, JAX, PyTorch, CuPy, Dask, ndonnx.
Python★ 20Aug 17, 2026
Apache-2.0Aug 17, 2026 · metrics 2.10.0
PyPI
47Weakhealth index
rmovva/HypotheSAEs
HypotheSAEs: hypothesizing interpretable relationships in text datasets using sparse autoencoders. https://arxiv.org/abs/2502.04382
Jupyter Notebook★ 95↓ 96/moSep 14, 2026
Apache-2.0Sep 14, 2026 · metrics 2.10.0