GreenGuardian VS pytorch-serving-workshop

Compare GreenGuardian vs pytorch-serving-workshop and see what are their differences.

GreenGuardian

creating a greener globe with object detection models and batch transformation pipelines 🤖💚 (by akkik04)

pytorch-serving-workshop

Slides and notebook for the workshop on serving bert models in production (by npatta01)
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GreenGuardian pytorch-serving-workshop
6 1
2 24
- -
8.0 10.0
6 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
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.

GreenGuardian

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

pytorch-serving-workshop

Posts with mentions or reviews of pytorch-serving-workshop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-29.

What are some alternatives?

When comparing GreenGuardian and pytorch-serving-workshop you can also consider the following projects:

amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

ai_book - AI book for everyone

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.

fraud-detection-using-machine-learning - Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker