aws-samples / aws-serverless-for-machine-learning-inference
This is a sample solution for bringing your own ML models and inference code, and running them at scale using AWS serverless services.
☆38Updated last year
Alternatives and similar repositories for aws-serverless-for-machine-learning-inference:
Users that are interested in aws-serverless-for-machine-learning-inference are comparing it to the libraries listed below
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated 8 months ago
- Amazon SageMaker Managed Spot Training Examples☆51Updated 9 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆138Updated 6 months ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆55Updated 3 years ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆98Updated 4 years ago
- Examples showing use of NGC containers and models withing Amazon SageMaker☆17Updated 2 years ago
- ☆57Updated 2 years ago
- Post-process Amazon Textract results with Hugging Face transformer models for document understanding☆96Updated 4 months ago
- Hosting code-server on Amazon SageMaker☆54Updated last year
- 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
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 4 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- ☆21Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆140Updated 2 weeks ago
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆241Updated last month
- SageMaker custom deployments made easy☆61Updated 3 weeks ago
- Compilation of examples of SageMaker inference options and other features.☆68Updated 3 weeks ago
- ☆145Updated 2 years ago
- ☆28Updated last year
- ☆43Updated 5 months ago
- ☆88Updated 2 years ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- Build a machine learning (ML) powered search engine prototype to retrieve and recommend products based on text or image queries☆40Updated 2 years ago
- A curated list of references for Amazon SageMaker☆166Updated last year
- Sample code for parallelizing across multiple CPU/GPUs on a single machine to speed up deep learning inference☆33Updated 5 years ago
- ☆12Updated last year
- Context is Key: Combining Embedding-based Retrieval with LLMs for Comprehensive Knowledge Enrichment☆32Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆136Updated last month
- ☆13Updated last year