miroenev / teach_DLLinks
☆35Updated 6 years ago
Alternatives and similar repositories for teach_DL
Users that are interested in teach_DL are comparing it to the libraries listed below
Sorting:
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 7 months ago
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 5 years ago
- A Spark library for Amazon SageMaker.☆301Updated 10 months ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆187Updated 5 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 11 months ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 4 years ago
- Deep Learning demos with different frameworks (2016-2020)☆111Updated 5 months ago
- This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.☆114Updated 7 years ago
- The open source version of the Amazon SageMaker docs☆252Updated 2 years ago
- Notebooks for MXNet☆12Updated 8 years ago
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆109Updated 5 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆58Updated 5 years ago
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- Material for re:Invent 2016 - CON314 - Workshop: Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot Instances☆194Updated 6 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 4 years ago
- ☆52Updated 8 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated last year
- Natural language processing & computer vision models optimized for AWS☆142Updated 3 years ago
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 5 years ago
- Sagemaker pipeline for AWS Summit New York☆58Updated 6 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆293Updated 8 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 2 years ago
- Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS☆169Updated 6 years ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆429Updated last year
- A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically c…☆402Updated last year
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 7 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated 2 years ago