The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Repository Index
47,133 repositories indexed
1–9 of 9 · Most stars
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
PySpark + Scikit-learn = Sparkit-learn
pyspark methods to enhance developer productivity 📣 👯 🎉
A command-line tool for launching Apache Spark clusters.
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
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.