sci-libs/amd::stuff
- Ebuilds: 1, Testing: 3.3.4 Description:
AMD is a set of routines for ordering a sparse matrix prior to Cholesky
factorization (or for LU factorization with diagonal pivoting). There
are versions in both C and Fortran.
Homepage:https://people.engr.tamu.edu/davis/suitesparse.html License: BSD
sci-libs/ausaxs::stuff
- Ebuilds: 2, Testing: 1.2.9 Description:
AUSAXS is a C++ library providing efficient fitting of atomic
structure files against experimental small-angle X-ray scattering
(SAXS) data via the Debye equation, validation of electron
microscopy maps against SAXS data, and (in development) rigidbody
optimisation. The library is loaded by SasView via its
dev-python/pyausaxs wrapper.
Homepage:https://github.com/AUSAXS/AUSAXS License: LGPL-3+
sci-libs/camd::stuff
- Ebuilds: 1, Testing: 3.3.5 Description:
Constrained Approximate Minimum Degree ordering is a set of routines
for ordering a sparse matrix prior to Cholesky factorization (or for
LU factorization with diagonal pivoting).
Homepage:https://people.engr.tamu.edu/davis/suitesparse.html License: BSD
sci-libs/colamd::stuff
- Ebuilds: 1, Testing: 3.3.5 Description:
The COLumn Approximate Minimum Degree ordering algorithm
computes a permutation vector P such that the LU factorization of A
(:,P) tends to be sparser than that of A. The Cholesky factorization
of (A (:,P))\'*(A (:,P)) will also tend to be sparser than that of
A\'*A. SYMAMD is a symmetric minimum degree ordering method based on
COLAMD, available as a MATLAB-callable function. It constructs a
matrix M such that M\'*M has the same pattern as A, and then uses
COLAMD to compute a column ordering of M.
Homepage:https://people.engr.tamu.edu/davis/suitesparse.html License: BSD
sci-libs/dlpack::stuff
- Ebuilds: 1, Testing: 1.3 Description:
DLPack is an in-memory tensor exchange format used to share tensor
data zero-copy between ML frameworks (PyTorch, TensorFlow, ONNX
Runtime, CuPy, JAX, etc.). Header-only library plus a small CMake
install footprint.
Build-time dep of sci-libs/onnxruntime[python]; also pulled by
parts of the JAX and CuPy stacks when packaged from source.
Forked from ::guru @ same version; ebuild + 1 doc-warnings patch
imported verbatim.
Homepage:https://github.com/dmlc/dlpack License: Apache-2.0
sci-libs/faiss::stuff
- Ebuilds: 2, Testing: 1.15.0 Description:
Faiss is a library for efficient similarity search and clustering of
dense vectors. It contains algorithms that search in sets of vectors
of any size, up to ones that possibly do not fit in RAM. It also
contains supporting code for evaluation and parameter tuning. Faiss
is written in C++ with complete wrappers for Python — installed
here under USE=python via SWIG-generated bindings. The PyPI
distribution is named "faiss-cpu"; the Python import name is
plain "faiss".
Homepage:
https://github.com/facebookresearch/faiss
https://faiss.ai
License: MIT
sci-libs/nexus::stuff
- Ebuilds: 2, Testing: 4.4.3_p20200126-r1, Snapshot: 9999 Description:
Libraries and tools for the NeXus data format, developed
collaboratively by scientists from major scientific facilities to facilitate
analysis and visualisation of neutron, x-ray and muon data.
NeXus is based on HDF5.
Homepage:https://www.nexusformat.org/ License: LGPL-2.1
sci-libs/onnxruntime::stuff
- Ebuilds: 2, Testing: 1.29.0-r2 Description:
ONNX Runtime is Microsoft's cross-platform machine learning inference
and training accelerator. Provides a C/C++/Python API plus optional
execution providers for CPU, NVIDIA CUDA, AMD ROCm, OpenVINO, DirectML,
CoreML, and others. Reads ONNX-format models and dispatches operators
to whichever provider is registered.
USE=python builds the Python bindings (NumPy, flatbuffers, protobuf, and
packaging); USE=test builds the C++ test suite with upstream's pinned
GoogleTest source.
Derived from the ::guru package with patches to relax the flatbuffers
dependency, drop -Werror, and use system libraries. Eigen3 remains pinned
to a specific GitLab archive commit because upstream requires features
newer than the latest compatible tagged release. CUDA builds use pinned
CUTLASS and cuDNN Frontend sources required by upstream.
Homepage:
https://onnxruntime.ai
https://github.com/microsoft/onnxruntime
License: Apache-2.0 BSD MIT
sci-libs/pgplot::stuff
- Ebuilds: 1, Testing: 5.2.2-r99 Description:
Local fork of ::gentoo sci-libs/pgplot-5.2.2-r9 to add
-std=gnu89 in src_configure. ::gentoo's ebuild builds with the
compiler default, which on gcc 16 (-std=gnu23) rejects K&R
prototypes in drivers/figdisp_comm.c. Drop the -r99 once
::gentoo lands an equivalent fix.
Homepage:https://sites.astro.caltech.edu/~tjp/pgplot/ License: free-noncomm