Posted about this separately (https://news.ycombinator.com/item?id=31743388 https://news.ycombinator.com/item?id=31743388) thanks for pointing me to this post.

Posted about this separately (https://news.ycombinator.com/item?id=31743388 https://news.ycombinator.com/item?id=31743388) thanks for pointing me to this post. I used to work at Google where they have an internal tool called mldash. Was never able to find an equivalent user experience outside Google until now. To be honest, I rarely need versioning for my datasets, and I had sort of put DVC into a bucket in my mind called "dataset versioning". For this reason, I have not really been a DVC user until now. From what I see in this post, though, you guys are building a more cohesive experience around the common tasks that someone has to do in the course of training, deploying, and evaluating a machine learning model. Experiment tracking is a great place to start. Kudos.