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cakeisalie89/Quantum-Thermal- — GitHub trending stats & insights | Trendshift
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cakeisalie89/Quantum-Thermal-
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Been doing some serious harness engineering around scientific AI. The basic architecture is: Python scientific core + Snakemake + uv + reproducible containers + pytest/Hypothesis + Ruff/mypy/Pydantic…
@brick4956 · x.com
Been doing some serious harness engineering around scientific AI. The basic architecture is: Python scientific core + Snakemake + uv + reproducible containers + pytest/Hypothesis + Ruff/mypy/Pydantic…
@brick4956 · x.com
@DeryaTR_ @MIT https://t.co/TFhPeeqIQn
@brick4956 · x.com
Been doing that with my project for months feedback i got with a particular aspect
@brick4956 · x.com
Been doing some serious harness engineering around scientific AI. The basic architecture is: Python scientific core + Snakemake + uv + reproducible containers + pytest/Hypothesis + Ruff/mypy/Pydantic…
@brick4956 · x.com
Been doing some serious harness engineering around scientific AI. The basic architecture is: Python scientific core + Snakemake + uv + reproducible containers + pytest/Hypothesis + Ruff/mypy/Pydantic…
@brick4956 · x.com
Doing in codex now also doing everything for this theory
@brick4956 · x.com
Also utilizing byte-identical cryptographic hashing alongside a detached manifest for data integrity and reproducibility
@brick4956 · x.com
If I had to point to an idea it aligns with on the hardware side it's GNoME
@brick4956 · x.com
Also utilize byte-identical cryptographic hashing alongside a detached manifest for reproducibility and data integrity alongside running monte carlo uncertainty propagation sweeps with fixed random…
@brick4956 · x.com
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