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Provides fractional delay filter design and evaluation routines for Numpy arrays

🤗 nlp: datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow

ScaLAPACK for Python (scalapy) provides a high-level Python interface to distributed dense linear algebra using MPI, BLACS, and ScaLAPACK. It enables efficient computation on large matrices using a block-cyclic distribution, while exposing a NumPy-like API based on the DistributedMatrix abstraction.

This fork modernizes and stabilizes the original scalapy project with: • Support for Python 3.x on modern Linux systems • Clean MPI + ScaLAPACK detection (OpenMPI + Netlib ScaLAPACK) • Reproducible builds using a known-good NumPy / Cython / mpi4py stack • Documentation, examples, and automated tests • High-level wrappers for SVD, QR, LU, Cholesky, eigenproblems, and DMD workflows • Efficient distributed transposes via the new p?lapv2 wrapper

The project makes it possible to write dense parallel linear-algebra pipelines in Python while executing BLAS/PBLAS/ScaLAPACK kernels across an MPI communicator.

The iSciNumPy blog: website

The numpy rpms

Copy of NumPy open source project for testing purposes.

The fundamental package for scientific computing with Python.

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

NumPy & SciPy for GPU

A copy of the Numpy directory to host

Good starting point for working on data science projects. Contains numpy, pandas, matplotlib, tensorflow and more.