VevestaX VS strava-analysis

Compare VevestaX vs strava-analysis and see what are their differences.

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VevestaX strava-analysis
10 1
27 3
- -
0.0 10.0
over 1 year 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.

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.

strava-analysis

Posts with mentions or reviews of strava-analysis. We have used some of these posts to build our list of alternatives and similar projects.
  • Data Analysis with Strava
    1 project | /r/datascience | 10 Jan 2023
    Here's a good initiative! After collecting the data, feel free to use the code on github as well. Just change a few variables! https://github.com/Lucs1590/strava-analysis

What are some alternatives?

When comparing VevestaX and strava-analysis you can also consider the following projects:

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

Crypto-Currency-Trade-Finder - Jupyter Notebooks to Help Discover New Crypto Currency Trading Strategies

MLOps - End to End toy example of MLOps

data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera

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

data-analytics-project-template - A python project starter template for data-analytics and data-science.

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

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

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.

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.

recommenders - Best Practices on Recommendation Systems