A ML pipelining/build library. Think like make but for ML models, but written in Python code and invalidating results based on data and code changes using Merkle DAGs. Similar to DVC, but again using pure Python instead of YAML files, and (arguably) more powerful caching. I use it myself and find it very useful, but don't have the energy to polish and promote it :) Maybe that will change in the future though!
A ML pipelining/build library. Think like make but for ML models, but written in Python code and invalidating results based on data and code changes using Merkle DAGs. Similar to DVC, but again using pure Python instead of YAML files, and (arguably) more powerful caching. I use it myself and find it very useful, but don't have the energy to polish and promote it :) Maybe that will change in the future though!