21 Machine Learning libraries and projects
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xgboost
9.8 9.5 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, Dask, Flink and DataFlow -
mxnet
9.7 5.0 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 -
Dlib
9.5 8.6 L1 C++A toolkit for making real world machine learning and data analysis applications in C++ -
Caffe2
9.3 0.0 Jupyter NotebookA lightweight, modular, and scalable deep learning framework. [Apache2] website -
vowpal_wabbit
9.1 9.2 L1 C++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. -
catboost
8.8 10.0 PythonA 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. -
RNNLIB
5.6 0.0 CRNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/ -
Fido
4.0 0.0 L5 C++A lightweight C++ machine learning library for embedded electronics and robotics. -
Recommender
3.6 0.0 L4 CA C library for product recommendations/suggestions using collaborative filtering (CF) -
NN++
3.3 0.0 L3 C++A small and easy to use neural net implementation for C++. Just download and #include! -
OpenHotspot
1.5 0.0 L4 C++OpenHotspot is a machine learning, crime analysis framework written in C++11.
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* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.