OpenHotspot VS Caffe2

Compare OpenHotspot vs Caffe2 and see what are their differences.

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OpenHotspot Caffe2
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14 8,443
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0.0 0.0
almost 7 years ago over 5 years ago
C++ Jupyter Notebook
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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.

Caffe2

Posts with mentions or reviews of Caffe2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Caffe2 yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing OpenHotspot and Caffe2 you can also consider the following projects:

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.

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

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

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

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

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

Porcupine   - On-device wake word detection powered by deep learning

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

CoreML-Models - Largest list of models for Core ML (for iOS 11+)