github.com
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
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) - Elixir-based implementation built to be performant and highly distributed.
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Distributed decision tree ensemble learning in Scala.
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) - 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.
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Deep learning optimization library that makes distributed training easy, efficient, and effective.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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) - Distributed Torrent Archive on Nostr - A self-replicating torrent index built on Nostr protocol.
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ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Framework for distributed hyperparameter optimization.
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Distributed Asynchronous Hyperparameter Optimization in Python.
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Open-source managed agent runtime for distributed AI agents.
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Distributed POSIX file system built on top of Redis and S3.
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A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
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A distributed machine learning framework Apache Spark.
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Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
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Enables single machine or distributed training and evaluation of deep learning models.
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Fast and simple framework for building and running distributed applications.
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High performance distributed data processing in NodeJS.
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Highly Scalable Distributed Vector Search Engine.
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Distributed system for embedding-based vector retrieval.
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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library.