Mateusz Sokół's repositories
array-api
RFC document, tooling and other content related to the array API standard
array-api-compat
Compatibility layer for NumPy to support the Array API
array-api-tests
Test suite for the PyData Array APIs standard
astropy
Astronomy and astrophysics core library
cpython
The Python programming language
cupy
NumPy & SciPy for GPU
finch-tensor
Sparse Tensors in Python and more! Datastructure-Driven Array Programming Language
Finch.jl
Sparse tensors in Julia and more! Datastructure-driven array programing language.
hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
joblib
Computing with Python functions.
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
matplotlib
matplotlib: plotting with Python
meson
The Meson Build System
numpy
The fundamental package for scientific computing with Python.
OpenBLAS
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
openblas_buildsys_snips
Openblas build system snippets
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pybind11
Seamless operability between C++11 and Python
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Quansight-website
💻 Source code for Quansight Consulting and Labs websites
ruff
An extremely fast Python linter, written in Rust.
scikit-learn
scikit-learn: machine learning in Python
scipy
SciPy library main repository
sparse
Sparse multi-dimensional arrays for the PyData ecosystem
taco
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.