Algorithmia
Managed MLflow
MCenter
neptune.ai
5Analytics
Weights & Biases
Iterative.ai
Comet.ml
R2Devops Hub
Semaphore
DevStream
Heroku CI
CircleCI
Buddy
SaaS Starter Kit
Fiberplane
Algorithmia R2Devops HubNo R2Devops Hub videos yet. You could help us improve this page by suggesting one.
Based on our record, R2Devops Hub should be more popular than Algorithmia. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 3 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 3 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 3 years ago
Seems similar to https://algorithmia.com. Source: over 3 years ago
Algorithmia.com — Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 4 years ago
To simplify the creation, usage and maintenance of these templates, you can create your own CI/CD catalog using https://r2devops.io. Source: about 2 years ago
I found out about R2DevOps some months ago that can help for that. Source: about 2 years ago
Perhaps r2devops can help? Https://r2devops.io/. Source: almost 3 years ago
I work on a tool that automates the creation of your CI/CD pipeline 👉🏻 https://r2devops.io. Source: almost 3 years ago
I've already talked about https://r2devops.io a couple of months ago: we are building a library of open source CI/CD jobs you can easily integrate in your GitLab's pipelines. Source: almost 3 years ago
Managed MLflow - 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.
Semaphore - Semaphore is a fully managed, high performance testing and deployment solution for your company. A Continuous Integration tool.
MCenter - Machine Learning Operationalization
DevStream - DevStream is an open source DevOps toolchain manager, empowering you to set up flexible DevOps toolchains in 5 minutes with 1 command.
neptune.ai - 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.
Heroku CI - Continuous Integration from Heroku