sagemaker-tensorflow-training-toolkit
editGAN_release
sagemaker-tensorflow-training-toolkit | editGAN_release | |
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1 | 1 | |
267 | 622 | |
0.0% | 0.0% | |
0.0 | 0.0 | |
about 1 year ago | almost 2 years ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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sagemaker-tensorflow-training-toolkit
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Launch HN: Slai (YC W22) – Build ML models quickly and deploy them as apps
this is pretty cool! especially the opinionated structuring part.
now Sagemaker allows u to download ur running code and docker (https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangle...) . Also allows u to simulate local running - https://github.com/aws/sagemaker-tensorflow-training-toolkit
rather than anything else, this is basically just a way to calm worries about lock-in. Google ML resisted this for a long time, but even they had to finally do it - https://cloud.google.com/automl-tables/docs/model-export
are you planning something similar ?
editGAN_release
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Launch HN: Slai (YC W22) – Build ML models quickly and deploy them as apps
Superb! Can we implement a paper like this? https://github.com/nv-tlabs/editGAN_release
What are some alternatives?
sagemaker-distribution - A set of Docker images that include popular frameworks for machine learning, data science and visualization.
sagemaker-training-toolkit - Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
spotty - Training deep learning models on AWS and GCP instances
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.