Productive, portable, and performant GPU programming in Python.
- taichi
- differentiable-programming
- gpu-programming
- sparse-computation
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Productive, portable, and performant GPU programming in Python.
NumPy & SciPy for GPU
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Direct Sparse Odometry
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
The Universal Storage Engine
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
A fast, memory efficient hash map for C++
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom
C++ library for solving large sparse linear systems with algebraic multigrid method
Parallel solvers for sparse linear systems featuring multigrid methods.
Algebraic Multigrid Solvers in Python
Numerical linear algebra software package
Dense and sparse linear algebra library for Ruby via SciRuby
CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/
A Powerful , Extensible CSS Parser written in pure Swift.
Mir (backports): Sparse tensors, Hoffman
Sparse matrix formats for linear algebra supporting scientific and machine learning applications