Awesome C++
Section: Machine Learning · A lightweight C library for artificial neural networks. [MIT]
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A lightweight C library for artificial neural networks. [MIT]
Section: Machine Learning · A lightweight C library for artificial neural networks. [MIT]
Section: Machine Learning & AI on MCU · A lightweight C library for artificial neural networks.
Section: AI · Two-file ANN library. MIT
Section: Machine Learning Frameworks · A lightweight C library for artificial neural networks
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
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]
General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.
is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete…
zap: - A toolkit for making real world machine learning and data analysis applications in C++. [Boost] website