A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

Oxford Deep NLP 2017 course

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

Alluxio, data orchestration for analytics and machine learning in the cloud

Machine Learning and Agentic AI Resources, Practice and Research

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Apache TinkerPop - a graph computing framework

A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources

Mirror of Apache griffin

Mirror of Apache Toree (Incubating)

Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.

Pythonic Programming Framework to orchestrate jobs in Databricks Workflow

VSCode extension to work with Databricks