OpenHotspot VS mlpack

Compare OpenHotspot vs mlpack and see what are their differences.

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OpenHotspot mlpack
0 1
14 3,847
- 0.8%
0.0 9.9
over 4 years ago 6 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.

mlpack

Posts with mentions or reviews of mlpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-09.
  • Top 10 Python Libraries for Machine Learning
    14 projects | dev.to | 9 Sep 2021
    Github Repository: https://github.com/mlpack/mlpack Developed By: Community, supported by Georgia Institute of technology Primary purpose: Multiple ML Models and Algorithms

What are some alternatives?

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

SHOGUN - Shōgun

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

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

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

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

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

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

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

examples - TensorFlow examples

tensorflow - An Open Source Machine Learning Framework for Everyone

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.

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.