A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
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A distributed machine learning framework Apache Spark.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Platform to programmatically author, schedule, and monitor workflows.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Framework for orchestrating teams of specialized AI agents. Role-based agents collaborate on complex tasks. $20M+ in VC funding. Apache-2.0.
Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.
A Clojure dataframe library that runs on Apache Spark.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Open-source agent skill and npm CLI for daily-updated arXiv, PubMed/PMC, and US policy retrieval with deterministic freshness cutoffs. Apache-2.0.
Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.