Showing 4 open source projects for "ml-so1v"

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  • Automate contact and company data extraction Icon
    Automate contact and company data extraction

    Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.

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  • 1
    Kubeflow

    Kubeflow

    Machine Learning Toolkit for Kubernetes

    ...It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container. Wherever you may be running Kubernetes, you can run Kubeflow as well.
    Downloads: 0 This Week
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  • 2
    libfabric

    libfabric

    AWS Libfabric

    ...Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud.
    Downloads: 0 This Week
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  • 3
    Plum Cave Twofish

    Plum Cave Twofish

    A version of Plum Cave that uses the ChaCha20 and Twofish ciphers

    A version of Plum Cave that employs the "ChaCha20 + Twofish-256 CBC + HMAC-SHA3-512" authenticated encryption scheme for data encryption and ML-KEM-1024 for quantum-resistant key exchange.
    Downloads: 0 This Week
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  • 4
    Seldon Server

    Seldon Server

    Machine learning platform and recommendation engine on Kubernetes

    ...Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. Seldon Server is a machine learning platform that helps your data science team deploy models into production. ...
    Downloads: 0 This Week
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