Algorithmia
Managed MLflow
neptune.ai
MCenter
Datatron
5Analytics
Iterative.ai
Numericcal
Mercurial SCM
Git
GitHub Desktop
Atlassian Bitbucket Server
Azure DevOps
Perforce
Apache Subversion
GitKraken
Algorithmia Mercurial SCMNo Mercurial SCM videos yet. You could help us improve this page by suggesting one.
Based on our record, Algorithmia should be more popular than Mercurial SCM. It has been mentiond 5 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 2 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 2 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 2 years ago
Seems similar to https://algorithmia.com. Source: over 2 years ago
Algorithmia.com — Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 3 years ago
Many people have asked me to write a blog post on my preference of Mercurial over Git and so far I've refused and will continue doing so for the foreseeable future. - Source: dev.to / 3 months ago
Mercurial Paris Conference 2023 is a professional and technical conference around mercurial scm, a free, distributed source control management tool. Source: over 1 year 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.
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
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.
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
MCenter - Machine Learning Operationalization
Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.