deep-learning-containers
sagemaker-distribution
| deep-learning-containers | sagemaker-distribution | |
|---|---|---|
| 1 | 1 | |
| 937 | 75 | |
| 1.3% | - | |
| 9.7 | 9.2 | |
| 6 days ago | 7 days ago | |
| Python | Dockerfile | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
deep-learning-containers
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Deploying whisperX on AWS SageMaker as Asynchronous Endpoint
We are ready to create and deploy the sagemaker model on SageMaker as asynchronous endpoint using a image URI and the model data uploaded to S3. For different deployment regions and requirements, find suitable container images at AWS Deep Learning Container.
sagemaker-distribution
What are some alternatives?
blender-docker-cli - :monkey_face: Blender in :whale: Docker
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.
oneAPI-samples - Samples for Intel® oneAPI Toolkits
sagemaker-run-notebook - Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
cresset - Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker
libtensorflow_cc - Pre-built libtensorflow_cc.so and Docker Images for TensorFlow C++ API
sagemaker-training-toolkit - Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
dockerdl - Deep Learning Docker Image