Open-source software (OSS) development is a cornerstone of modern machine learning research. However, issues such as the sustainability of long-term projects, software reliability, and proper academic acknowledgment of maintenance and contributions are often overlooked. This workshop aims to identify and discuss strategies for successful and sustainable open-source development in ML while also proposing solutions to these challenges. Additionally, the workshop will provide a platform to recognize the efforts of open-source contributors in the field. We will bring together machine learning researchers, engineers, industrial practitioners, and software development experts. The workshop will feature invited talks, panel discussions with experts, and workshop paper submissions from open-source contributors in machine learning.