MLRun v0.10 is now generally available. This release includes: Snowflake is now supported as a datasource for the feature store Consumer group streaming report has been added An option to configure pods priority and spot instances from the UI has been added Masking of sensitive data in the UI has been enhanced Configuration of CPU, GPU,...

A simple tutorial showing how to build an image classifier AI app in 5 minutes with MLRun, including a look under the hood to see how everything is connected.

MLRun v0.10 is now generally available. This release includes: New project-level menu. When accessing a project in the Projects page, the new menu on the left provides access to all aspects of the project, including the Project Settings. Improved UI performance when fetching objects from the MLRun DB. This relates mainly to the jobs and projects...

In this session, Yaron Haviv, MLRun Co-Founder, discusses how to enable continuous delivery of machine learning to production using Git-based ML pipelines (Github Actions) with hosted training and model serving environments. He touched upon how to leverage Git to solve rigorous MLOps needs: automating workflows, reviewing models, storing versioned models as artifacts, and running CI/CD...

MLRun v0.9 is now generally available. This release includes: MySQL is now the underlying database in MLRun, replacing SQLite. Feature store updates: Spark is now certified as an engine Data can be ingested incrementally Google BigQuery is now supported as a data source UI: The new Kubeflow Pipeline report is included in the Projects page Projects...

MLRun v0.8 is now generally available. This release includes: Projects now have members (users, user groups), thereby controlling access to view and manage the project. (Available with the Iguazio MLOps Platform 3.2)  The new Settings dialog in the Projects page has two tabs: General, and Secrets, to manage general settings and project secrets. The project...

MLRun version 0.7.0 and 0.7.1 are now generally available. These releases includes the following:  Automate the model monitoring deployment Support ingestion of deltas for a scheduled feature set Add a new wizard for creating an MLRun function Usability enhancements around working with projects, function , volume mounts, pipeline etc.. Fixed window returns the last closed window

MLRun version 0.6.5 is now generally available. The release includes the following:  Supports node selectors when running a new job Feature Store updates:    Improved ingestion and aggregation logic and performance    Model UI now includes information about the feature vector Kubernetes secrets provider is now supported Enables mpijob as an MLRun runtime Additional logging capabilities of PyTorch...

Take a look at a few of the inspiring projects from our first-ever hackathon: ICU-OPS: Help frontline clinicians triage patients in ICUs by rapidly assessing a patient’s overall health for informed clinical decisions that will improve patient outcomes and relieve COVID19 ICU overload. Deepfake Shield: Fighting deepfakes with deep-learning. COVID-19 Detection through Radiography images of...

Check out the latest release of MLRun, with several new features and enhancements. Feature store updates: Parquet partitioning is now supported Read offline data with time range Data ingestion using Spark Reduce the docker images size for faster delivery over the network A new CLI option to submit functions/projects to the cluster Deploy model via...