aws-samples / amazon-sagemaker-bert-classify-pytorchLinks
This sample show you how to train BERT on Amazon Sagemaker using Spot instances
☆31Updated last year
Alternatives and similar repositories for amazon-sagemaker-bert-classify-pytorch
Users that are interested in amazon-sagemaker-bert-classify-pytorch are comparing it to the libraries listed below
Sorting:
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 2 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆62Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 3 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆142Updated 11 months ago
- SageMaker custom deployments made easy☆61Updated 5 months ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 3 weeks ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- Amazon SageMaker Local Mode Examples☆260Updated 4 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last week
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆153Updated last week
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- ☆96Updated 4 years ago
- Learn Amazon SageMaker☆106Updated 2 weeks ago
- ☆136Updated last year
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆99Updated 4 years ago
- ☆145Updated 2 years ago
- Post-process Amazon Textract results with Hugging Face transformer models for document understanding☆99Updated 9 months ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 5 months ago
- SageMaker specific extensions to TensorFlow.☆54Updated last year
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆407Updated last year
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆147Updated 4 months 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
- ☆64Updated last year
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 4 years ago