Showing 4 open source projects for "tensorflow"

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  • 1
    Kubeflow Training Operator

    Kubeflow Training Operator

    Distributed ML Training and Fine-Tuning on Kubernetes

    Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, TensorFlow, XGBoost, MPI, Paddle, and others.
    Downloads: 0 This Week
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  • 2
    Katib

    Katib

    Automated Machine Learning on Kubernetes

    ...Katib is a project that is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom Resources with out-of-the-box support for Kubeflow Training Operator, Argo Workflows, Tekton Pipelines, and many more.
    Downloads: 0 This Week
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  • 3
    Weaviate

    Weaviate

    Weaviate is a cloud-native, modular, real-time vector search engine

    ...Weaviate in detail: Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.). It offers Semantic Search, Question-Answer-Extraction, Classification, Customizable Models (PyTorch/TensorFlow/Keras), and more. Built from scratch in Go, Weaviate stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
    Downloads: 3 This Week
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  • 4
    Gorgonia

    Gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go

    ...Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily. If this sounds like Theano or TensorFlow, it's because the idea is quite similar. Specifically, the library is pretty low-level, like Theano, but has higher goals like Tensorflow. The primary goal for Gorgonia is to be a highly performant machine learning/graph computation-based library that can scale across multiple machines. It should bring the appeal of Go (simple compilation and deployment process) to the ML world. ...
    Downloads: 0 This Week
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