aws-samples / amazon-sagemaker-pytorch-detectron2Links
This repository shows how to train an object detection algorithm with Detectron2 on Amazon SageMaker
☆28Updated 3 years ago
Alternatives and similar repositories for amazon-sagemaker-pytorch-detectron2
Users that are interested in amazon-sagemaker-pytorch-detectron2 are comparing it to the libraries listed below
Sorting:
- From nothing to a deployed object detection model on SageMaker with Detectron2☆29Updated last year
- Port of Detectron2 to train/deploy model on Amazon Sagemaker☆16Updated 4 years ago
- Examples showing use of NGC containers and models withing Amazon SageMaker☆17Updated 2 years ago
- ☆34Updated 2 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆142Updated 7 months ago
- Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker☆46Updated last year
- ☆20Updated 2 years ago
- This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon E…☆11Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 3 months ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Workshop showcasing how to run defect detection using computer vision at the edge with Amazon SageMaker☆50Updated 7 months ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆72Updated last year
- Examples of AI Accelerators - GPU, AWS Inferential and Elastic Inference☆32Updated 4 years ago
- End to end code samples for training an object detection model in Amazon SageMaker using the built-in SSD algorithm and running it on AWS…☆40Updated 4 years ago
- MNIST classifier implementation with PyTorch Lightning on Amazon SageMaker☆24Updated 2 years ago
- ☆40Updated 9 months ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated 10 months ago
- ☆145Updated 2 years ago
- SageMaker custom deployments made easy☆62Updated 2 months ago
- End to end computer vision workshop using Amazon SageMaker☆25Updated 9 months ago
- SageMaker training implementation for computer vision to offload JPEG decoding and augmentations on GPUs using NVIDIA DALI — allowing yo…☆21Updated 3 years ago
- Build a Docker container to build, train and deploy fast.ai based Deep Learning models with Amazon SageMaker☆13Updated 6 years ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆99Updated 4 years ago
- Deploy Machine Learning Pipeline on AWS Fargate☆13Updated 2 years ago
- ☆54Updated last year
- Amazon SageMaker Managed Spot Training Examples☆51Updated 11 months ago
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 4 years ago
- An example AWS SAM app showing how to deploy a fastai app using Lambda Container feature☆13Updated 4 years ago
- Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Tran…☆18Updated 4 years ago