Machine Learning

• Caffe - A fast framework for neural networks. [BSD]
• catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library. [Apache2]
• Fido - A highly-modular C++ machine learning library for embedded electronics and robotics. [MIT] website
• m2cgen - A CLI tool to transpile trained classic ML models into a native C code with zero dependencies. [MIT]
• mlpack - A scalable c++ machine learning library. [LGPLv3] website
• ONNX runtime - C and C++ library for training and inference ONNX models. ONNX is a standard that AI models can be converted into, regardless of the library they are trained with. [MIT] website
• Recommender - C library for product recommendations/suggestions using collaborative filtering (CF). [BSD]
• SHOGUN - The Shogun Machine Learning Toolbox. [GPLv3]
• 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]
• TensorComprehensions - A fully-functional C++ library to automatically synthesize high-performance machine learning kernels. [Apache-2.0]