data-science-portfolio
VevestaX
Our great sponsors
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 |
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
-
Interactive Online Portfolio
Here is my article about data science portfolio website built with Mercury. The interactive portfolio can be deployed to Heroku. Here is a link. What is more, you can serve several interactive notebooks in the one server.
- Show HN: Data Science Portfolio for Jupyter Notebooks, No HML/CSS Only Python
-
Create a Data Science Portfolio website with Jupyter Notebooks and Mercury - no JS/HTML/CSS, only Python!
Website is built on top of Mercury which serves the Notebooks. The code is available at my GitHub https://github.com/pplonski/data-science-portfolio - I hope you will find it interesting and it will help you to create your own portfolio website with executable notebooks.
VevestaX
-
📝Everything you need to know about Distributed training and its often untold nuances
100 early birds who login into www.vevesta.com will get a free lifetime subscription.
- [D] Open Source library to do automatic EDA + experiment tracking in a spreadsheet
-
[D] ZIP models as a means to handle regression on data with excess of zeros
Sharing an article on how to handle regression for data which has lots and lots of zeros. VevestaX/ZIP_tutorial.md at main · Vevesta/VevestaX · GitHub
- Zero Inflated Poisson Regression Model – How to model data with lot of zeroes?
-
MLflow VS VevestaX - a user suggested alternative
2 projects | 12 May 2022
- Show HN: Discover VevestaX – Track ML features, experiments and EDA in an Excel
-
[D] Impactful Computer Vision Research - Nerf (Neural Radiance Fields)
On side note, we have developed a knowledge repository for Machine Learning Projects with note taking ability. We are looking for beta testers. Check us out on www.vevesta.com or mail us on [[email protected]](mailto:[email protected]). Eager to hear your views on the same.
-
VevestaX - An awesome and simple tool to track ML experiments in an excel file
You can check out the source code at our GitHub page: https://github.com/Vevesta/VevestaX.
-
VevestaX - Library to track ML experiments and data into an excel file
Gitlink: https://github.com/Vevesta/VevestaX
What are some alternatives?
mercury - Convert Jupyter Notebooks to Web Apps
bodywork-pipeline-with-aporia-monitoring - Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
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.
MLOps - End to End toy example of MLOps
python-training - Python training for business analysts and traders
vertex-ai-samples - Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
rapaio-jupyter-kernel - Java jupyter kernel
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
mercury-examples - Example Jupyter Notebooks showing how to use Mercury framework
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.