clear_net VS Recommender

Compare clear_net vs Recommender and see what are their differences.

clear_net

A framework for the creation and training of vanilla and convolutional neural nets only depending on a C compiler and standard library (by 4imothy)
C convolutional-neural-networks Machine Learning vanilla-neural-network
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Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF) (by GHamrouni)
Machine Learning collaborative-filtering C recommendation-engine
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clear_net Recommender
1 -
12 263
- -
9.4 0.0
5 months ago almost 2 years ago
C C
Creative Commons Attribution 4.0 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.

clear_net

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

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 clear_net and Recommender you can also consider the following projects:

keras2c - A simple library to deploy Keras neural networks in pure C for realtime applications

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.

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

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

Daikon - Dynamic detection of likely invariants

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.

MeTA - A Modern C++ Data Sciences Toolkit

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

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

Caffe2

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

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

clear_net vs keras2c Recommender vs catboost clear_net vs sod Recommender vs mxnet clear_net vs Daikon Recommender vs vowpal_wabbit Recommender vs MeTA Recommender vs mlpack Recommender vs Caffe Recommender vs Caffe2 Recommender vs Porcupine   Recommender vs CCV