Probabilistic programming with vectorized programmable inference
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Updated
Sep 27, 2026 - Python
Probabilistic programming with vectorized programmable inference
Python scripts to transpile Python, R, Octave, or C to modern Fortran, mark Fortran procedures as pure or elemental, add argument intents, transform loops to array operations, and make other changes
Source-to-source autodiff for APL
A unified JAX-native array pattern API for shape and sharding checks, reshape, rearrange, reshard, and einsum contractions.
a library for running uiua in python
Translate Python/NumPy and eventually other array languages to Fortran
Vectorized Cartesian Genetic Programming library
Array thinking, all the way to q — a J laboratory then q/kdb+. Learning in public.
Python utilities for JAX and Warp with filtered jit, pytree helpers, and array-to-Warp conversion.
GPU & distributed support for SciPy, scikit-learn, scikit-image, and beyond
Jupyter kernel for the Goal array programming language
An educational Sieve of Eratosthenes project comparing direct and segmented NumPy implementations, using odd-only storage and slice-based marking to reduce Python overhead and improve cache locality without changing the algorithm’s complexity.
Transpiler of a subset of the J programming language to modern Fortran
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