Showing 4 open source projects for "mysql-connector-java"

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  • 1
    TorchServe

    TorchServe

    Serve, optimize and scale PyTorch models in production

    TorchServe is a performant, flexible and easy-to-use tool for serving PyTorch eager mode and torschripted models. Multi-model management with the optimized worker to model allocation. REST and gRPC support for batched inference. Export your model for optimized inference. Torchscript out of the box, ORT, IPEX, TensorRT, FasterTransformer. Performance Guide: built-in support to optimize, benchmark and profile PyTorch and TorchServe performance. Expressive handlers: An expressive handler...
    Downloads: 0 This Week
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  • 2
    Triton Inference Server

    Triton Inference Server

    The Triton Inference Server provides an optimized cloud

    ...Model pipelines using Ensembling or Business Logic Scripting (BLS). HTTP/REST and GRPC inference protocols based on the community-developed KServe protocol. A C API and Java API allow Triton to link directly into your application for edge and other in-process use cases.
    Downloads: 0 This Week
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  • 3
    Openfire LLM Chatbot Plugin

    Openfire LLM Chatbot Plugin

    LLM Chatbot Assistant for Openfire server

    This plugin is a wrapper to hosted AI Inference server for LLM chat models. It uses the Botz API to create a chatbot in Openfire which will engage in XMPP chat and groupchat conversations.
    Downloads: 0 This Week
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  • 4
    KotlinDL

    KotlinDL

    High-level Deep Learning Framework written in Kotlin

    KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning models in production environments.
    Downloads: 0 This Week
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