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
Cross Platform C++ Vector Graphics Library (Inspired by the HTML5 canvas API)
BLAS-like Library Instantiation Software Framework
a Productive Parallel Programming Language
A high-performance, zero-overhead, extensible Python compiler using LLVM
Convolutional Neural Networks
Distributed Linear Algebra with Future
Downloading all files of a language from the OSCAR (Open Super-large Crawled Aggregated coRpus)
Elements C++ GUI library
Excel formulas interpreter in Python.
Bare Metal Compatibility Library for the Freedom Platform
Functional Programming Library for C++. Write concise and readable C++ code.
A general purpose C++ runtime system for parallel and distributed applications of any scale
An OpenMP runtime implemented using HPX
A simple yet fast user space network driver for Intel 10 Gbit/s NICs written from scratch
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A standalone and lightweight C library
Transpose your Excel calculations into python for better performances and scaling.
High-performance object-based library for DLA computations
Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
List of packages for Nimble
(educational) build your own disk based KV store
SPMD (HPC) collectives library for Python implemented using pyzmq
RAJA Performance Portability Layer (C++)
General, high performance algebraic multigrid solver
SST Structural Simulation Toolkit Parallel Discrete Event Core and Services