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Shogun

Appears in 4 awesome lists

Polyfunctional and mature machine learning toolbox with Ruby bindings.

Open github.comshogun-toolbox/shogun

Found in these lists

Awesome C++

Section: Machine Learning · The Shogun Machine Learning Toolbox. [GPLv3]

FreshScore 94

Awesome Machine Learning

Section: C++ · The Shogun Machine Learning Toolbox.

FreshScore 93

Awesome Python Data Science

Section: General Purpose Machine Learning · Machine learning toolbox.

ActiveScore 71

Awesome Machine Learning with Ruby

Section: Frameworks · Polyfunctional and mature machine learning toolbox with Ruby bindings.

StaleScore 54

m2cgen

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…

In 16 listsDetails

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]

In 11 listsDetails

CatBoost

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.

In 10 listsDetails

Caffe

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.

In 10 listsDetails

Polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.

In 9 listsDetails

FAISS

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…

In 8 listsDetails

LightGBM

Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

In 8 listsDetails

dlib

zap: - A toolkit for making real world machine learning and data analysis applications in C++. [Boost] website

In 7 listsDetails