MeTA VS CCV

Compare MeTA vs CCV and see what are their differences.

MeTA

A Modern C++ Data Sciences Toolkit (by meta-toolkit)
Machine Learning NLP nlp-parsing search-engine inverted-index pos-tag text-analysis text-analytics text-classification language-modeling graph-algorithms C++ word-embeddings
Source Code
meta-toolkit.org
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CCV

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library (by liuliu)
Machine Learning
Source Code
libccv.org
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MeTA CCV
- 3
684 7,041
-0.1% -
0.0 9.4
about 1 year ago about 1 month ago
C++ C
MIT License GNU General Public License v3.0 or later
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.

MeTA

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

We haven't tracked posts mentioning MeTA yet.
Tracking mentions began in Dec 2020.

CCV

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

What are some alternatives?

When comparing MeTA and CCV you can also consider the following projects:

Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF)

catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Caffe - Caffe: a fast open framework for deep learning.

vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

NN++ - A small and easy to use neural net implementation for C++. Just download and #include!

Dlib - A toolkit for making real world machine learning and data analysis applications in C++

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

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Fido - A lightweight C++ machine learning library for embedded electronics and robotics.

Caffe2

MeTA vs Recommender CCV vs catboost MeTA vs Caffe CCV vs Caffe MeTA vs vowpal_wabbit CCV vs NN++ MeTA vs Dlib CCV vs xgboost MeTA vs mxnet CCV vs Fido MeTA vs Caffe2 CCV vs vowpal_wabbit