NumPy & SciPy for GPU
- cuda
- cudnn
- cublas
- cusolver
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NumPy & SciPy for GPU
DeepGEMM: clean and efficient BLAS kernel library on GPU
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Desktop app for managing BibTeX and BibLaTeX (.bib) libraries
Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.
BLAS-like Library Instantiation Software Framework
Infrastructure for evolutionary AI systems. GPU-accelerated, PyTorch-based optimization with an ecosystem of algorithm libraries, benchmarks, and tools.
Black hole simulation project:
10x faster matrix and vector operations
MMseqs2: ultra fast and sensitive search and clustering suite
LAPACK development repository
Mixed-precision math, linear-algebra & retrieval kernels, 4000+ symbols from 4-bit numbers to 128-bit complex, for x86, Arm, RISC-V, LoongArch, Power & WASM, AMX & SME included 📐
A lightweight high performance tensor algebra framework for modern C++
Throw in the towel.
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Mir (backports): Sparse tensors, Hoffman
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.
Workbench for practical machine learning in Ruby.