Iguazio

[wtm_mlop_cats] The Iguazio Data Science Platform transforms AI projects into real-world business outcomes. Accelerate and scale development, deployment and management of your AI applications with MLOps and end-to-end automation of machine learning pipelines. Features * 80x. Faster by moving from batch to real-time.* 25% Reduction in airplane turn time.* 60% Faults automatically prevented.* 500. Real-time […]

IBM Watson Studio

[wtm_mlop_cats] IBM Watson® Studio empowers data scientists, developers and analysts to build, run and manage AI models, and optimize decisions anywhere on IBM Cloud Pak® for Data. Unite teams, automate AI lifecycles and speed time to value on an open multicloud architecture. Bring together open source frameworks like PyTorch, TensorFlow and scikit-learn with IBM and […]

Hopsworks

[wtm_mlop_cats] Hopsworks is a managed platform for scale-out data science, with support for both GPUs and Big Data, in a familiar development environment. Hopsworks can be used either through its User-Interface or via a REST API. Features * a user-friendly UI for development with the latest open-source platforms for Data Science (Jupyter, Conda, etc),* Github-like […]

H2O

[wtm_mlop_cats] H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Flow notebook/web interface, and works seamlessly with big data technologies like Hadoop and Spark. H2O provides implementations of many popular algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), […]

Gradient

[wtm_mlop_cats] Gradient is a Paperspace product that simplifies developing, training, and deploying machine learning models. Whether you’re a student, a researcher, or a professional, Gradient can make your work easier. Watch Welcome to Gradient to learn more, or just create an account to get started! Features * Compatible with everything: Gradient supports all major frameworks […]

Domino

[wtm_mlop_cats] Domino is a data science platform that enables fast, reproducible, and collaborative work on data products like models, dashboards, and data pipelines. Users can run regular jobs, launch interactive notebook sessions, view vital metrics, share work with collaborators, and communicate with their colleagues in the Domino web application. Features Certified partners who have worked […]

DataRobot

[wtm_mlop_cats] The DataRobot Automated Machine Learning product accelerates your AI success by combining cutting-edge machine learning technology with the team you have in place. The platform incorporates the knowledge, experience, and best practices of the world’s leading data scientists, delivering unmatched levels of automation, accuracy, transparency, and collaboration to help your business become an AI-driven […]

Dataiku

[wtm_mlop_cats] Dataiku is an artificial intelligence and machine learning company which was founded in 2013. In December 2019, Dataiku announced that CapitalG – the late-stage growth venture capital fund financed by Alphabet Inc. – joined Dataiku as an investor and that it had achieved unicorn status. Features Data PreparationVisualizationMachine LearningDataOpsMLOpsAnalytic AppsCollaborationGovernanceExplainabilityArchitecture Official website Link Tutorial […]

DAGsHub

[wtm_mlop_cats] DAGsHub is a platform for data scientists and machine learning engineers to version their data, models, experiments, and code. It allows you and your team to easily share, review, and reuse your work, providing a GitHub experience for machine learning. DAGsHub is built on popular open-source tools and formats, making it easy to integrate […]

CNVRG

[wtm_mlop_cats] cnvrg.io is a machine learning platform built by data scientists, for data scientists. cnvrg.io helps teams to manage, build and automate machine learning from research to production. Features Machine Learning PipelinesAI LibraryOpen ComputeDataset ManagementMachine Learning TrackingMachine Learning Model DeploymentScalable Streaming Endpoints Official website Link Tutorial and documentation Click here to view See more MLOps […]