ClearML celebrates the launch of version 1.0. The platform makes machine learning (ML) and deep learning (DL) researchers more effective by giving them tools to manage their experiments, data, pipelines and model deployment.
The open source suite of tools automates preparing, executing, and analysing machine learning experiments. These gives data scientists the tools to manage their experiments, workloads, data operations and models.
The main features of the 1.0 release are:
- The AWS EC2 auto-scaler service wizard
- Vastly reworked documentation
- The option to perform operations in batch
- Offline support for tasks
- Kubernetes integration
- Docker support
ClearML 1.0 is available for free now on github for self installation.
Curious to learn more? Have a look at the blog post.