Based on our record, Git seems to be a lot more popular than Algorithmia. While we know about 222 links to Git, we've tracked only 5 mentions of Algorithmia. 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
Download Git: Visit the Git website and download the installer for your operating system. - Source: dev.to / about 20 hours ago
Git: Ensure you have Git installed on your machine. If not, you can download it from the Git website. - Source: dev.to / 5 days ago
1.Understanding of Version Control Concepts. 2.Basic Command Line Knowledge (Optional). 3.Installation of Git : (https://git-scm.com/). 4.Choosing a Git GUI. Learning Basic Git Commands: such as git clone, git add, git commit, git push, git pull, git fetch, git merge, and git branch will be beneficial. 5.Understanding Repository Hosting Services. 6.Practice and Experiment. - Source: dev.to / 8 days ago
Windows: Download Git from the official website and follow the installation instructions. - Source: dev.to / 13 days ago
This Docker image is designed to support implementing Github Actions With Python. As of version 4.0.0., it starts with The official python docker image as the base Which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl, Gpg, git, and the GitHub CLI. We added curl and gpg because they Are... - Source: dev.to / 18 days 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.
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
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.
Mercurial SCM - Mercurial is a free, distributed source control management tool.
MCenter - Machine Learning Operationalization
Cryptlex - Cryptlex is an IT Management software, designed to help you maximize the revenue potential of your software by protecting you against software piracy.