liquidsvm/liquidsvm   0.6.0

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

saucam/shiva   0.1.1

A library for Simple High dimensional Indexed Vector search Algorithms

whylabs/whylogs   0.7.0

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

h2oai/h2o-3   3.30.0.3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

catboost/catboost   1.2.7

A 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.

deepjavalibrary/djl   0.31.0

An Engine-Agnostic Deep Learning Framework in Java

apache/flink-ml   2.0.0

Machine learning library of Apache Flink

mrdimosthenis/synapses   7.3.1

A group of neural-network libraries for functional and mainstream languages

recommenders-team/recommenders   0.6.6

Best Practices on Recommendation Systems

torao/quebic   1.0.1

Simple Journaling Queue Library

alibaba/alink   1.6.2

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

tupol/spark-xkmeans   0.0.1

Extension to the standard K-Means implementation of Spark ML library

mlflow/mlflow   2.18.0

Open source platform for the machine learning lifecycle