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.
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lakeFS - Data version control for your data lake | Git for data
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
PySpark + Scikit-learn = Sparkit-learn
R interface for Apache Spark
pyspark methods to enhance developer productivity 📣 👯 🎉
A command-line tool for launching Apache Spark clusters.
Haskell on Apache Spark.
Serverless proxy for Spark cluster
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.
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
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.
An open-source toolkit for analyzing line-oriented JSON Twitter archives with Apache Spark.