sagemaker-distribution VS dockerdl

Compare sagemaker-distribution vs dockerdl and see what are their differences.

sagemaker-distribution

A set of Docker images that include popular frameworks for machine learning, data science and visualization. (by aws)
AWS Docker Pytorch sagemaker Tensorflow Jupyter Python
Source Code
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dockerdl

Deep Learning Docker Image (by matifali)
Cuda Deep Learning Docker Jupyter Numpy Python Pytorch Tensorflow
Source Code
hub.docker.com
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sagemaker-distribution dockerdl
1 6
77 63
- -
9.2 6.9
about 17 hours ago 5 days ago
Dockerfile Dockerfile
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

sagemaker-distribution

Posts with mentions or reviews of sagemaker-distribution. We have used some of these posts to build our list of alternatives and similar projects.

dockerdl

Posts with mentions or reviews of dockerdl. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing sagemaker-distribution and dockerdl you can also consider the following projects:

blender-docker-cli - :monkey_face: Blender in :whale: Docker

libtensorflow_cc - Pre-built libtensorflow_cc.so and Docker Images for TensorFlow C++ API

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

cloudrun-example-api - An example API used in the blogpost 'Deploying a Flask API to Google Cloud Run using Terraform'

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

sagemaker-distribution vs blender-docker-cli dockerdl vs libtensorflow_cc sagemaker-distribution vs sagemaker-tensorflow-training-toolkit dockerdl vs blender-docker-cli sagemaker-distribution vs oneAPI-samples dockerdl vs oneAPI-samples sagemaker-distribution vs sagemaker-run-notebook dockerdl vs cloudrun-example-api sagemaker-distribution vs cresset dockerdl vs cresset sagemaker-distribution vs sagemaker-python-sdk sagemaker-distribution vs libtensorflow_cc