Show HN: ML Team’s Wiki – Identify and use relevant features and techniques

Vevesta is a Collective Wiki/Knowledge repository with tracking and collaboration capabilities for Machine learning(ML) projects. Following are the USPs :

1. Feature Dictionary in Vevesta: Features (i.e. inputs to ML algorithm) discovery where data scientists can search features relevant to their project. This reduces the discovery phase of relevant features for machine learning projects.

2. Technique/Algorithm dictionary in Vevesta: Data Scientists, based on work of previous data scientists, can search algorithms relevant to their problem statements. This reduces the steep learning curve the data scientists face while finding, learning and implementing new relevant algorithms.

3. VevestaX: Open source library for automated check in of features, notes, code, algorithm used by data scientists using minimal lines of code. This is from inside the environment they are most comfortable with (Jupyter notebook/Python)

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PS: The website is not mobile optimized.