Open source platform for the machine learning lifecycle
MLflow tracking automates the logging process of experiments and sends live information to a local or remote server while the training is still running.
🦉Data Version Control | Git for Data & Models | ML Experiments Management
DVC (Data Version Control) acts as an extension to Git and enables version control of large-scale files.
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
[D] Tips for ML workflow on raw data
2 projects | reddit.com/r/MachineLearning | 21 Jan 2022
[D] How do you ensure reproducibility?
6 projects | reddit.com/r/MachineLearning | 24 Sep 2021
[P] Integrating Git, DVC, and MLflow into one
2 projects | reddit.com/r/MachineLearning | 26 Apr 2021
"[Discussion]" Should I be using DVC (Data Version Control) in my day-to-day work?
3 projects | reddit.com/r/MachineLearning | 15 Apr 2021
Run your first Kubeflow pipeline
5 projects | dev.to | 20 Nov 2021