Recommender alternatives and related libraries

Based on the "Machine Learning" category

• Caffe

  10.0 4.6 L1 Recommender VS Caffe

  A fast framework for neural networks. [BSD]

• mxnet

  9.9 9.9 L1 Recommender VS mxnet

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

• xgboost

  9.8 9.3 L1 Recommender VS 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, Flink and DataFlow. [Apache2]

• Caffe2

  9.5 8.5 Recommender VS Caffe2

  A lightweight, modular, and scalable deep learning framework. [Apache2] website

• vowpal_wabbit

  9.3 9.4 L1 Recommender VS vowpal_wabbit

  fast out-of-core learning system

• CCV

  9.3 9.3 L2 Recommender VS CCV

  C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD]

• catboost

  8.5 10.0 Recommender VS catboost

  CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

• mlpack

  8.5 9.7 L1 Recommender VS mlpack

  A scalable c++ machine learning library. [LGPLv3]

• SHOGUN

  8.3 9.1 L1 Recommender VS SHOGUN

  The Shogun Machine Learning Toolbox. [GPLv3]

• Porcupine  

  6.8 7.8 Recommender VS Porcupine  

  On-device wake word detection engine powered by deep learning.

• Minerva

  6.0 0.0 L1 Recommender VS Minerva

  A fast and flexible system for deep learning. [Apache2]

• RNNLIB

  5.9 0.0 Recommender VS RNNLIB

  RNNLIB is a recurrent neural network library for sequence learning problems. [GPLv3]

• MeTA

  5.6 0.0 L3 Recommender VS MeTA

  A modern C++ data sciences toolkit. [MIT] website

• Fido

  4.5 0.0 L5 Recommender VS Fido

  A highly-modular C++ machine learning library for embedded electronics and robotics. [MIT] website

• NN++

  3.4 0.0 L3 Recommender VS NN++

  A small and easy to use neural net implementation for C++

• OpenHotspot

  1.5 0.0 L4 Recommender VS OpenHotspot

  OpenHotspot is a machine learning, crime analysis framework written in C++11.

• faiss-server

  1.5 6.4 Recommender VS faiss-server

  faiss serving :)

• sofia-ml

  - - Recommender VS sofia-ml

  The suite of fast incremental algorithms for machine learning. [Apache2]

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.

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