Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...
Microsoft has been serious about helping data scientists track and manage their machine learning experiments for some time now. For example, the company's Azure Machine Learning (Azure ML) cloud ...
Canonical Ltd. is pushing further into the machine learning operations arena with the launch of its Charmed MLFlow platform in general availability today. Charmed MLFlow is Canonical’s distribution of ...
Charmed MLFlow is part of Canonical's growing MLOps portfolio. This newly released platform is ideal for model registry and experiment tracking and can be integrated with other AI and big data tools, ...
Databricks Inc. opens its Data + AI Summit today with the announcement that it will release the entirety of its Delta Lake storage framework to open-source under the oversight of the Linux Foundation.
Databricks is releasing MLflow 2.0, building upon MLflow's strong platform foundation and incorporating extensive user feedback to simplify data science workflows and deliver innovative, first-class ...
JFrog, a leading software supply chain platform provider, has announced a new machine learning (ML) lifecycle integration with MLflow, the open-source platform from Databricks. This builds on JFrog's ...
MLflow is an open source machine learning operations (MLOps) platform that was launched two years ago. Since then, the platform has been downloaded over 2 million times each month. The project has ...
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