20 Machine Learning libraries and projects
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mxnet
9.8 9.5 L1 C++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 0.0 L1 C++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] -
Dlib
9.5 8.3 L1 C++A general purpose cross-platform C++ library designed using contract programming and modern C++ techniques. [Boost] -
Caffe2
9.3 0.0 Jupyter NotebookA lightweight, modular, and scalable deep learning framework. [Apache2] website -
CCV
9.1 8.5 L2 CC-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD] -
catboost
8.8 10.0 C++CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R -
RNNLIB
5.8 0.0 CRNNLIB is a recurrent neural network library for sequence learning problems. [GPLv3] -
Fido
4.2 0.0 L5 C++A highly-modular C++ machine learning library for embedded electronics and robotics. [MIT] website -
Recommender
3.6 0.0 L4 CC library for product recommendations/suggestions using collaborative filtering (CF). [BSD] -
OpenHotspot
1.5 0.0 L4 C++OpenHotspot is a machine learning, crime analysis framework written in C++11.
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