Recommender VS MeTA

Compare Recommender vs MeTA and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Recommender MeTA
- -
263 684
- 0.4%
0.0 0.0
almost 2 years ago about 1 year ago
C C++
BSD 2-clause "Simplified" License MIT 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.

Recommender

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

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

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.

What are some alternatives?

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

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.

CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

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

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.

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

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

Caffe2