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)
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.
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.
-
Serving PyTorch Models in Production
Repo: GitHub Repository
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