Valohai

[wtm_mlop_cats] Valohai is all about taking away the not-so-fun parts of machine learning. Managing cloud instances and writing glue code is neither valuable nor fun. Valohai takes care of that for you. Features Managed MLOps: Point to your code & data and hit run. Valohai launches workers, runs your ML pipeline and shuts down the […]

Sagemaker

[wtm_mlop_cats] Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. Accelerate innovation with purpose-built tools for every step of ML development, including labeling, data preparation, feature engineering, statistical bias detection, auto-ML, training, tuning, hosting, […]

Polyaxon

[wtm_mlop_cats] Polyaxon is a platform for building, training, and monitoring large scale deep learning applications. We are making a system to solve reproducibility, automation, and scalability for machine learning applications. Polyaxon deploys into any data center, cloud provider, or can be hosted and managed by Polyaxon, and it supports all the major deep learning frameworks […]

Pachyderm

[wtm_mlop_cats] Pachyderm is a tool for version-controlled, automated, end-to-end data pipelines for data science. If you need to chain together data scraping, ingestion, cleaning, munging, wrangling, processing, modeling, and analysis in a sane way, while ensuring the traceability and provenance of your data, Pachyderm is for you. If you have an existing set of scripts […]

Neu.ro

[wtm_mlop_cats] Neu.ro platform seamlessly stitches your on-prem and cloud resources, deploys pipelines, integrates your open-source and commercial development tools. Neu.ro lets data scientists focus on what’s most important: building effective models. Features * Neu.ro provides management of the infrastructure and processes for successful ML development at scale. Our team seamlessly stitches your on-prem and cloud […]

Modzy 

[wtm_mlop_cats] Modzy is the ModelOps and MLOps software platform for businesses to deploy, manage, and get value from AI—at scale. Features * Easy integration: Fits within your existing tech stack, with flexibility for the future * MLOps – Deploy & Scale Anywhere: Autoscale infrastructure of choice — on-premise, cloud, edge, or hybrid with deployment pipelines […]

ML Workspace 

[wtm_mlop_cats] The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, […]

LynxKite

[wtm_mlop_cats] LynxKite is an open-source “one stop shop” graph data science platform. Graph analytics and graph AI are the next frontier of data science and will improve machine learning performance in various applications. Features * Import data (megabytes to terabytes) from a variety of sources. Work directly with traditional data sources (CSV, JSON, ORC, Parquet […]

Kubeflow 

[wtm_mlop_cats] The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run […]

Knime

[wtm_mlop_cats] At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. Features Blend & Transform: Access, merge, and transform all of your data. Model & Visualize: Make sense of your data with the […]