Launch HN: Slai (YC W22) – Build ML models quickly and deploy them as apps

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  • sagemaker-tensorflow-training-toolkit

    Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

  • 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

  • Superb! Can we implement a paper like this? https://github.com/nv-tlabs/editGAN_release

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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