NN++ VS OpenHotspot

Compare NN++ vs OpenHotspot and see what are their differences.

NN++

A small and easy to use neural net implementation for C++. Just download and #include! (by stagadish)
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NN++ OpenHotspot
- -
228 14
- -
0.0 0.0
almost 7 years ago almost 7 years ago
C++ C++
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.

NN++

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

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

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.

What are some alternatives?

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

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

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.

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

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

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

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

Caffe2