cinnaroll.ai
Rapid & simple machine learning model deployment. Without Ops overhead. Unified, streamlined way of testing, experimenting, reviewing, selecting, deploying, monitoring and retraining ML models.
cinnaroll.ai Alternatives
The best cinnaroll.ai alternatives based on verified products, community votes, reviews and other factors.
Latest update:
-
Iguazio is a platform that allows users to bring their data science to life, and it automates the MLOps with end-to-end machine learning pipelines while transforming AI projects into the real world.
-
Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
-
Build powerful web apps, and create your custom AI apps, no code needed!
-
Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
-
Developer tools for deep learning research
-
Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
-
Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
-
Serverless, also known as FaaS (Function-as-a-Service), is a new approach to application development. FaaS is a form of serverless computing with an infrastructure managed by the provider to upload functions and use them on a pay-per-request basis.
-
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated
-
Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
-
Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.
-
Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
-
Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
-
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.