Propel vs Continuous Machine Learning: What are the differences?
What is Continuous Machine Learning? CI/CD for Machine Learning Projects. Continuous Machine Learning (CML) is an open-source library for implementing continuous integration & delivery (CI/CD) in machine learning projects. Use it to automate parts of your development workflow, including model training and evaluation, comparing ML experiments across your project history, and monitoring changing datasets.
Propel and Continuous Machine Learning belong to "Machine Learning Tools" category of the tech stack.
Some of the features offered by Propel are:
- Run anywhere, in the browser or natively from Node
- Target multiple GPUs and make TCP connections
- PhD optional
On the other hand, Continuous Machine Learning provides the following key features:
- GitFlow for data science
- Auto reports for ML experiments
- No additional services
Propel is an open source tool with 2.78K GitHub stars and 79 GitHub forks. Here's a link to Propel's open source repository on GitHub.