Showing 2 open source projects for "friction"

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    ClassyVision

    ClassyVision

    An end-to-end PyTorch framework for image and video classification

    Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring distributed training, reproducible experiments, and flexible configuration tools. It offers high performance and scalability—capable of training models like ResNet-50 on ImageNet in just minutes—while remaining accessible to both researchers and production engineers. ...
    Downloads: 0 This Week
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    Serverless Components

    Serverless Components

    The Serverless Framework's new infrastructure provisioning technology

    The Serverless Framework's new infrastructure provisioning technology. Build, compose, & deploy serverless apps in seconds. Easily define your applications as functions and events. Declare AWS Lambda functions and their triggers through simple abstract syntax in YAML. Deploy infrastructure and code with a single command. AWS Lambda functions, triggers & code will be deployed and wired together in the cloud, automatically. Extend your use-cases and workflow with Plugins. Install thousands of...
    Downloads: 1 This Week
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