Helm charts provided by Allegro AI, ready to launch on Kubernetes using Kubernetes Helm.
The clearml-server is the backend service infrastructure for ClearML. It allows multiple users to collaborate and manage their experiments. By default, ClearML is set up to work with the ClearML demo server, which is open to anyone and resets periodically. In order to host your own server, you will need to install clearml-server and point ClearML to it.
clearml-server contains the following components:
- The ClearML Web-App, a single-page UI for experiment management and browsing
- RESTful API for:
- Documenting and logging experiment information, statistics and results
- Querying experiments history, logs and results
- Locally-hosted file server for storing images and models making them easily accessible using the Web-App
Use this repository to deploy clearml-server on Kubernetes clusters.
ClearML is supported by you ❤️ and the clear.ml team, which helps enterprise companies build scalable MLOps.
We built ClearML to track and control the glorious but messy process of training production-grade deep learning models. We are committed to vigorously supporting and expanding the capabilities of ClearML.
We promise to always be backwards compatible, making sure all your logs, data, and pipelines will always upgrade with you.
Apache License, Version 2.0, (see the LICENSE for more information)
For installation instruction, follow related Installation Guide.
See more information in the official documentation and on YouTube.
If you have any questions, post on our Slack Channel, or tag your questions on stackoverflow with 'clearml' tag (previously trains tag).
For feature requests or bug reports, please use GitHub issues.
Additionally, you can always find us at support@clear.ml
PRs are always welcomed ❤️ See more details in the ClearML Guidelines for Contributing.
May the force (and the goddess of learning rates) be with you!