Vc VS tensorflow

Compare Vc vs tensorflow and see what are their differences.

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Vc tensorflow
6 221
1,405 181,593
1.2% 0.7%
6.1 10.0
about 2 months ago about 8 hours ago
C++ C++
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

Vc

Posts with mentions or reviews of Vc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-30.
  • The Bitter Truth: Python 3.11 vs Cython vs C++ Performance for Simulations
    2 projects | /r/cpp | 30 Dec 2022
    Most high-performance math libraries perform a lot of vectorization (Eigen, etc) under the hood. And you've got stuff like Klein, Vc (which is reminiscent of std::valarray), etc. Then there's OpenMP's #pragma omp simd (assuming version 4.0 or greater).
  • John "God" Carmack: C++ with a C flavor is still the best (also: Python performance "keeps hitting me in the face")
    5 projects | /r/cpp | 21 Aug 2022
    I personally like the ideas in Parallelism v2 TS, which is available in for libstdc++ 11 onwards. The reference implementation is a library named Vc (afaik Vc is the most popular SIMD library for C++), and this has also been implemented in recent versions of HPX.
  • SPO600 project part 2
    2 projects | dev.to | 13 Apr 2022
    First of all about our project, I previously decided to work with VC library.https://github.com/VcDevel/Vc
  • SPO600 project part 1
    8 projects | dev.to | 22 Mar 2022
    I've decided to switch to something better, and after a few hours of searching, I found this repository: NSIMD https://github.com/agenium-scale/nsimd FastDifferentialCoding https://github.com/lemire/FastDifferentialCoding VS https://github.com/VcDevel/Vc XSIMD https://github.com/xtensor-stack/xsimd
  • Vc 1.4.2 released: portable SIMD programming for C++
    3 projects | /r/cpp | 23 Jun 2021
  • All C++20 core language features with examples
    10 projects | news.ycombinator.com | 7 Apr 2021
    > - Waiting for Cross-Platform standardized SIMD vector datatypes

    which language has standardized SIMD vector datatypes ? most languages don't even have any ability to express SIMD while in C++ I can just use Vc (https://github.com/VcDevel/Vc), nsimd (https://github.com/agenium-scale/nsimd) or one of the other ton of alternatives, and have stuff that JustWorksTM on more architectures than most languages even support

    - Using nonstandard extensions, libraries or home-baked solutions to run computations in parallel on many cores or on different processors than the CPU

    what are the other native languages with a standardized memory model for atomics ? and, what's the problem with using libraries ? it's not like you're going to use C# or Java's built-in threadpools if you are doing any serious work, no ? Do they even have something as easy to use as https://github.com/taskflow/taskflow ?

    - Debugging cross-platform code using couts, cerrs and printfs

    because people never use console.log in JS or System.println in C# maybe ?

    - Forced to use boost for even quite elementary operations on std::strings.

    can you point to non-trivial java projects that do not use Apache Commons ? Also, the boost string algorithms are header-only so you will end up with exactly the same binaries that if it was in some std::string_algorithms namespace:

    https://gcc.godbolt.org/z/43vKadbde

tensorflow

Posts with mentions or reviews of tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-06.

What are some alternatives?

When comparing Vc and tensorflow you can also consider the following projects:

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

scikit-learn - scikit-learn: machine learning in Python

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

PyBrain

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

MLflow - Open source platform for the machine learning lifecycle

mlpack - mlpack: a fast, header-only C++ machine learning library