libpoconet80t64
C++ Portable Components (POCO) Network library
The POCO C++ Libraries are a collection of open source C++ class libraries
that simplify and accelerate the development of network-centric, portable
applications in C++. The libraries integrate perfectly with the C++ Standard
Library and fill many of the functional gaps left open by it.
terraform-config-inspect
helper CLI tool for shallow inspection of Terraform configurations
terraform-config-inspect is a helper library and CLI tool for extracting
high-level metadata about Terraform modules from their source code. It
processes only a subset of the information Terraform itself would process,
and in return it's able to be broadly compatible with modules written for
many different versions of Terraform.
libhalide16-0
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-pyzipper
AES encryption for zipfile
PyZipper is a Python library for working with ZIP files in an efficient
and user-friendly way. It provides a high-level interface for creating,
reading, writing and extracting ZIP files. Additionally, it supports
advanced functionalities such as AES encryption and LZMA updates.
libdbd-cassandra-perl
Perl DBI database backend for Cassandra
DBD::Cassandra is a Perl5 Database Interface driver for Cassandra, using the
CQL3 query language.
r-cran-stanheaders
C++ Header Files for Stan for GNU R
The C++ header files of the Stan project are provided by this package,
but it contains no R code, vignettes, or function documentation. There
is a shared object containing part of the 'CVODES' library, but it is
not accessible from R. 'StanHeaders' is only useful for developers who
want to utilize the 'LinkingTo' directive of their package's DESCRIPTION
file to build on the Stan library without incurring unnecessary
dependencies. The Stan project develops a probabilistic programming
language that implements full or approximate Bayesian statistical
inference via Markov Chain Monte Carlo or 'variational' methods and
implements (optionally penalized) maximum likelihood estimation via
optimization. The Stan library includes an advanced automatic
differentiation scheme, 'templated' statistical and linear algebra
functions that can handle the automatically 'differentiable' scalar
types (and doubles, 'ints', etc.), and a parser for the Stan language.
The 'rstan' package provides user-facing R functions to parse, compile,
test, estimate, and analyze Stan models.