sagemaker-distribution
cresset
sagemaker-distribution | cresset | |
---|---|---|
1 | 1 | |
74 | 703 | |
- | 0.1% | |
9.2 | 6.6 | |
5 days ago | 24 days ago | |
Dockerfile | Dockerfile | |
Apache License 2.0 | MIT License |
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
cresset
What are some alternatives?
blender-docker-cli - :monkey_face: Blender in :whale: Docker
jina - ☁️ Build multimodal AI applications with cloud-native stack
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.
stable-diffusion-k8s - ⚡Instant Stable Diffusion on k8s(Kubernetes) with Helm
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
docker-python-chromedriver - Dockerfile for running Python Selenium in headless Chrome (Python 2.7 / 3.6 / 3.7 / 3.8 / Alpine based Python / Chromedriver / Selenium / Xvfb included in different versions)
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
libtensorflow_cc - Pre-built libtensorflow_cc.so and Docker Images for TensorFlow C++ API
docker-python3 - Python 3 build that is 20% faster