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Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Results 6 aws-lambda-docker-serverless-inference issues
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Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 0.24.2 to 1.0.1. Release notes Sourced from scikit-learn's releases. scikit-learn 1.0.1 We're happy to announce the 1.0.1 release with several bugfixes: You can see the changelog here:...

dependencies

Bumps [torch](https://github.com/pytorch/pytorch) from 1.7.1+cpu to 1.13.1. Release notes Sourced from torch's releases. PyTorch 1.13.1 Release, small bug fix release This release is meant to fix the following issues (regressions /...

dependencies

Bumps [torch](https://github.com/pytorch/pytorch) from 1.7.1 to 1.13.1. Release notes Sourced from torch's releases. PyTorch 1.13.1 Release, small bug fix release This release is meant to fix the following issues (regressions /...

dependencies

According to the README, the following command will clean up the project after deploying it: `aws cloudformation delete-stack --stack-name tensorflow-inference-docker-lambda` When I run this, the stacks fail to be deleted...

clean build fails as shown below -- basically blocks ability to develop/deploy arm64/graviton functions ``` Status: Downloaded newer image for public.ecr.aws/lambda/python:3.8-arm64 ---> f7892dec0f19 Step 2/7 : COPY requirements.txt ./ --->...

Bumps [torch](https://github.com/pytorch/pytorch) from 1.7.1 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...

dependencies