data-science-portfolio VS VevestaX

Compare data-science-portfolio vs VevestaX and see what are their differences.

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data-science-portfolio VevestaX
3 10
7 27
- -
0.0 0.0
about 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
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.

data-science-portfolio

Posts with mentions or reviews of data-science-portfolio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-09.

VevestaX

Posts with mentions or reviews of VevestaX. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-12.

What are some alternatives?

When comparing data-science-portfolio and VevestaX you can also consider the following projects:

bodywork-pipeline-with-aporia-monitoring - Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

MLOps - End to End toy example of MLOps

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

vertex-ai-samples - Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

mercury - Convert Jupyter Notebooks to Web Apps

awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

mlflow-easyauth - Deploy MLflow with HTTP basic authentication using Docker

OAD - Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.

mlflow-deployments - Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.

recommenders - Best Practices on Recommendation Systems

bodywork-pymc3-project - Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork

python-training - Python training for business analysts and traders