cresset VS sagemaker-distribution

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

cresset

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN. (by cresset-template)
Pytorch Docker Python Deep Learning Wheel Source source-python deep-learning-tutorial Build Cuda docker-compose Makefile Template template-repository Mlops Machine Learning mlops-template
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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
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cresset sagemaker-distribution
1 1
703 74
0.1% -
6.6 9.2
23 days ago 4 days ago
Dockerfile Dockerfile
MIT License Apache License 2.0
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.

cresset

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

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.

What are some alternatives?

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

jina - ☁️ Build multimodal AI applications with cloud-native stack

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

stable-diffusion-k8s - ⚡Instant Stable Diffusion on k8s(Kubernetes) with Helm

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

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-run-notebook - Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker

docker-python3 - Python 3 build that is 20% faster

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

cresset vs jina sagemaker-distribution vs blender-docker-cli cresset vs stable-diffusion-k8s sagemaker-distribution vs sagemaker-tensorflow-training-toolkit cresset vs blender-docker-cli sagemaker-distribution vs oneAPI-samples cresset vs docker-python-chromedriver sagemaker-distribution vs sagemaker-run-notebook cresset vs Robo-Semantic-Segmentation sagemaker-distribution vs sagemaker-python-sdk cresset vs docker-python3 sagemaker-distribution vs libtensorflow_cc