Image-Segmentation VS arbor

Compare Image-Segmentation vs arbor and see what are their differences.

Image-Segmentation

By shubham-pyc
Segmentation Machine Learning Classification Clustering k-means Cuda omp Mpi Multithreading
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arbor

The Arbor multi-compartment neural network simulation library. (by arbor-sim)
neuroscience HPC Cuda GPU Mpi modern-cpp Hip
Source Code
arbor-sim.org
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Image-Segmentation arbor
1 2
2 101
- 1.0%
10.0 7.8
over 2 years ago 7 days ago
C++ C++
- BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Image-Segmentation

Posts with mentions or reviews of Image-Segmentation. We have used some of these posts to build our list of alternatives and similar projects.

arbor

Posts with mentions or reviews of arbor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-17.

What are some alternatives?

When comparing Image-Segmentation and arbor you can also consider the following projects:

atrip - High Performance library for the CCSD(T) algorithm in quantum chemistry

ginkgo - Numerical linear algebra software package

timemory - Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

amgcl - C++ library for solving large sparse linear systems with algebraic multigrid method

HPCInfo - Information about many aspects of high-performance computing. Wiki content moved to ~/docs.

AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

ArrayFire - ArrayFire: a general purpose GPU library.

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)

cuda-api-wrappers - Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.

exotracker-cpp

Image-Segmentation vs atrip arbor vs ginkgo Image-Segmentation vs timemory arbor vs alpaka Image-Segmentation vs amgcl arbor vs HPCInfo arbor vs AdaptiveCpp arbor vs ArrayFire arbor vs stdgpu arbor vs mixbench arbor vs cuda-api-wrappers arbor vs exotracker-cpp