OpenHotspot VS vowpal_wabbit

Compare OpenHotspot vs vowpal_wabbit and see what are their differences.

OpenHotspot

By ozylol

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)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
OpenHotspot vowpal_wabbit
0 11
14 8,394
- 0.4%
0.0 8.3
almost 7 years ago 8 days ago
C++ C++
- 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.

OpenHotspot

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

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

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.

What are some alternatives?

When comparing OpenHotspot and vowpal_wabbit you can also consider the following projects:

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

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.

SHOGUN - Shōgun

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

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

faiss-server - faiss serving :)

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

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

RNNLIB - RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

MeTA - A Modern C++ Data Sciences Toolkit