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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.

) - Elixir-based implementation built to be performant and highly distributed.

Distributed decision tree ensemble learning in Scala.

) - Self-sovereign machine learning training tool for nostr global feed. Trained models can be monetized/distributed over nostr private messages. Your pre-paid model subscribers register via lightning payments.

Deep learning optimization library that makes distributed training easy, efficient, and effective.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

) - Distributed Torrent Archive on Nostr - A self-replicating torrent index built on Nostr protocol.

ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.

Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Framework for distributed hyperparameter optimization.

Distributed Asynchronous Hyperparameter Optimization in Python.

Open-source managed agent runtime for distributed AI agents.

Distributed POSIX file system built on top of Redis and S3.

A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.

A distributed machine learning framework Apache Spark.

Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.

Enables single machine or distributed training and evaluation of deep learning models.

Fast and simple framework for building and running distributed applications.

High performance distributed data processing in NodeJS.

Highly Scalable Distributed Vector Search Engine.

Distributed system for embedding-based vector retrieval.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library.