vowpal_wabbit VS Recommender

Compare vowpal_wabbit vs Recommender and see what are their differences.

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. (by VowpalWabbit)

Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF) (by GHamrouni)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
vowpal_wabbit Recommender
11 0
8,394 259
0.4% -
8.3 0.0
7 days ago over 1 year ago
C++ C
GNU General Public License v3.0 or later BSD 2-clause "Simplified" 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.

vowpal_wabbit

Posts with mentions or reviews of vowpal_wabbit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-13.

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.

What are some alternatives?

When comparing vowpal_wabbit and Recommender 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.

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

SHOGUN - Shōgun

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

MeTA - A Modern C++ Data Sciences Toolkit

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

faiss-server - faiss serving :)

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

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