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adel

Template-based automatic differentiation library

apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

arborx

Performance-portable geometric search library

armd4ocl

A Rust Macro DSL for OpenCL

artist

Cross Platform C++ Vector Graphics Library (Inspired by the HTML5 canvas API)

asio

Asio C++ Library

asio-network-programming-cookbook

Boost.Asio C++ Network Programming Cookbook by Dmytro Radchuk

asio_samples

Examples (code samples) describing the construction of active objects on the top of Boost.Asio. A code-based guide for client/server creation with usage of active object pattern by means of Boost C++ Libraries.

asiofi

C++ Asio language bindings for OFI libfabric

async_heat_equation

awesomerisc-vresources

It contains a curated list of awesome RISC-V Resources.

blis

BLAS-like Library Instantiation Software Framework

caffe-tensorflow

Caffe models in TensorFlow

can-i-subsystem-it

chapel

a Productive Parallel Programming Language

chiuw2016

CHIUW2016 - three machine learning algorithms for Chapel

chiuw2017

sketching algorithms implemented in chapel and python

chpl-plplot

PLplot bindings for Chapel

chpl-sketching

sketching algorithms implemented in chapel

chplx

A Chapel backend

codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

codon_openshmem

OpenSHMEM bindings for the Codon Python compiler

cpp-ts

C++ Technical Specification

crow

Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)

ctf

Cyclops Tensor Framework: distributed-memory tensor algebra

cudatree

Building random forests on GPU

cudd

CUDD: CU Decision Diagram package - unofficial git mirror of http://vlsi.colorado.edu/~fabio/

daal

darknet

Convolutional Neural Networks

dataframe

R's and Pandas DataFrame in modern C++ using native types, continuous memory storage, and no virtuality for data analysis and machine learning