Recommender alternatives and similar libraries
Based on the "Machine Learning" category.
Alternatively, view Recommender alternatives based on common mentions on social networks and blogs.
Caffe9.9 0.0 L1 Recommender VS CaffeCaffe: a fast open framework for deep learning.
xgboost9.8 9.1 L1 Recommender VS xgboostScalable, 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
Dlib9.5 9.2 L1 Recommender VS DlibA toolkit for making real world machine learning and data analysis applications in C++
Caffe29.3 0.0 Recommender VS Caffe2A lightweight, modular, and scalable deep learning framework. [Apache2] website
vowpal_wabbit9.2 9.8 L1 Recommender VS vowpal_wabbitVowpal 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.
CCV9.0 8.0 L2 Recommender VS CCVC-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
catboost8.8 10.0 Recommender VS catboostA 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.
mlpack8.5 9.8 L1 Recommender VS mlpackmlpack: a fast, header-only C++ machine learning library
SHOGUN8.1 0.0 L1 Recommender VS SHOGUNShōgun
Porcupine7.4 9.1 Recommender VS PorcupineOn-device wake word detection powered by deep learning
Minerva5.6 0.0 L1 Recommender VS MinervaA fast and flexible system for deep learning. [Apache2]
RNNLIB5.6 0.0 Recommender VS RNNLIBRNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
MeTA5.4 0.0 L3 Recommender VS MeTAA Modern C++ Data Sciences Toolkit
Fido4.1 0.0 L5 Recommender VS FidoA lightweight C++ machine learning library for embedded electronics and robotics.
NN++3.3 0.0 L3 Recommender VS NN++A small and easy to use neural net implementation for C++. Just download and #include!
faiss-server2.6 0.0 Recommender VS faiss-serverfaiss serving :)
OpenHotspot1.5 0.0 L4 Recommender VS OpenHotspotOpenHotspot is a machine learning, crime analysis framework written in C++11.
gaenari1.3 5.8 Recommender VS gaenaric++ incremental decision tree
sofia-mlThe suite of fast incremental algorithms for machine learning. [Apache2]
Access the most powerful time series database as a service
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of Recommender or a related project?
A C library for product recommendations/suggestions using collaborative filtering (CF).
Recommender analyzes the feedback of some users (implicit and explicit) and their preferences for some items. It learns patterns and predicts the most suitable products for a particular user.
- Collaborative Filtering
- User and Item based recommenders
- No external dependencies
- Fast running time ~ 81 seconds for 10 million ratings (on MovieLens Data Sets)
- Memory footprint under 160 MB for 10 million ratings
To compile Recommender:
The compilation will produce libRecommender.a
To compile an example:
gcc test/test.c src/libRecommender.a -lm -o test/t1 -I src/
Alternatively you can use clang
clang test/test.c src/libRecommender.a -lm -o test/t1 -I src/
Collaborative filtering, recommender system
*Note that all licence references and agreements mentioned in the Recommender README section above are relevant to that project's source code only.