Awesome C Cpp Projects
Section: 机器学习与深度学习
Entry
Appears in 6 awesome lists
A scalable C++ machine learning library (Python bindings).
Section: 机器学习与深度学习
Section: Machine Learning · A scalable c++ machine learning library. [LGPLv3] website
Section: General Machine Learning Packages
Section: Data Mining, Machine Learning, and Deep Learning · mlpack: a fast, header-only C++ machine learning library.
Section: General Purpose Machine Learning · A scalable C++ machine learning library (Python bindings).
Section: Machine Learning Frameworks · mlpack: a fast, header-only C++ machine learning library
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…
Validation & testing of machine learning models and data during model development, deployment, and production. This includes checks and suites related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.