gm2-14-mipsisa64r6el-linux-gnuabi64
GNU Modula-2 compiler for the mipsisa64r6el-linux-gnuabi64 architecture
This is the GNU Modula-2 compiler for the mipsisa64r6el-linux-gnuabi64 architecture,
which compiles Modula-2 on platforms supported by gcc. It uses the gcc
backend to generate optimised code.
node-regenerator
Functional JavaScript transformator
node-regenerator implements a fully-functional source transformation that
takes the syntax for generators/`yield` from ECMAScript 2015 or ES2015
and Asynchronous Iteration proposal and spits out efficient JS-of-today
(ES5) that behaves the same way.
libhalide13-0
fast, portable computation on images and tensors
Halide is a programming language designed to make it easier to write
high-performance image and array processing code on modern machines.
Halide currently targets:
* CPU architectures: X86, ARM, MIPS, Hexagon, PowerPC, RISC-V
* Operating systems: Linux, Windows, macOS, Android, iOS, Qualcomm QuRT
* GPU Compute APIs: CUDA, OpenCL, OpenGL Compute Shaders, Apple Metal,
Microsoft Direct X 12
Rather than being a standalone programming language,
Halide is embedded in C++. This means you write C++ code that builds
an in-memory representation of a Halide pipeline using Halide's C++ API.
You can then compile this representation to an object file,
or JIT-compile it and run it in the same process.
python3-hatch-mypyc
Hatch build hook plugin for Mypyc
Provides a build hook plugin for Hatch build system for Python that compiles
code with Mypyc.
r-cran-mixsqp
Quadratic Programming for Estimation of Mixture Proportions
Provides an optimization method based on sequential
quadratic programming (SQP) for maximum likelihood estimation of
the mixture proportions in a finite mixture model where the
component densities are known. The algorithm is expected to obtain
solutions that are at least as accurate as the state-of-the-art
MOSEK interior-point solver (called by function "KWDual" in the
'REBayes' package), and they are expected to arrive at solutions
more quickly when the number of samples is large and the number of
mixture components is not too large. This implements the "mix-SQP"
algorithm, with some improvements, described in Y. Kim,
P. Carbonetto, M. Stephens & M. Anitescu (2020)
<DOI:10.1080/10618600.2019.1689985>.
libmlir-16t64
Multi-Level Intermediate Representation library
Novel approach to building reusable and extensible compiler infrastructure.
MLIR aims to address software fragmentation, improve compilation for
heterogeneous hardware, significantly reduce the cost of building domain
specific compilers, and aid in connecting existing compilers together.