OMEGA|ML
Deploying data pipelines and machine learning models can take anywhere from weeks to months, involving engineers from many disciplines. Our open source data science platform omega|ml, written in Python and leveraging MongoDB, accomplishes the task in a matter of seconds. All it takes is a single line of code.
OMEGA|ML
Industry:
Analytics Information Technology Machine Learning
Founded:
2018-12-01
Website Url:
http://www.omegaml.io
Total Employee:
1+
Status:
Active
Email Addresses:
[email protected]
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible Apple Mobile Web Clips Icon Content Delivery Network Apache Nginx PostalAddress Schema OpenResty Microsoft LocalBusiness Schema
Similar Organizations
Business Catalytics
Combines the power of data science, insights of management consulting, and precision of operations to accelerate business performance.
Current Employees Featured
Founder
Official Site Inspections
http://www.omegaml.io
- Host name: 147.62.236.23.bc.googleusercontent.com
- IP address: 23.236.62.147
- Location: Mountain View United States
- Latitude: 37.4043
- Longitude: -122.0748
- Metro Code: 807
- Timezone: America/Los_Angeles
- Postal: 94043
More informations about "omega|ml"
omegaml - MLOps simplified. One-stop AI delivery platform, all …
Omega-ml is the pragmatic AI delivery and MLOps platform that works everywhere: locally, in the cloud, on premise and hybrid. Enabling data science teams of any size to build and deploy …See details»
omega|ml - Crunchbase Company Profile & Funding
Contact Email [email protected] Deploying data pipelines and machine learning models can take anywhere from weeks to months, involving engineers from many disciplines. Our open source …See details»
omegaml.io | LinkedIn
To make your life easier, omegaml.io founder Patrick Senti summarizes the key concepts, benefits and requirements, compares MLOps v.s. DevOps, and provides a checklist with …See details»
omegaml.io - Products, Competitors, Financials, Employees, …
Omegaml.io is a company that provides solutions for the deployment of machine learning operations (MLOps) within the technology and data science sectors. The company offers a …See details»
GitHub - omegaml/omegaml: MLOps simplified. One-stop AI …
Omegaml.github.io/omegaml/ Topics data-science machine-learning ai tensorflow docker-image deploy scikit-learn jupyter-notebook pytorch artificial-intelligence celery productized mlops genaiSee details»
Omegaml.io - Company Profile & Staff Directory - ContactOut
MLOps in a single line of code. omega-ml is the fastest way to deliver AI & ML data products. A single line of code should be all it takes to deploy models, APIs and apps. Reducing …See details»
Welcome to omega|ml community! — omega|ml community
Oct 8, 2020 Great to have you here! This is the community forum for the open source and commercial versions of omega|ml.See details»
omegaml python scikit-learn deploy machine learning REST API …
Leverage the Cloud, no Vendor Lock-in. All globally leading cloud providers offer their version of Ready-To-Go AI Services. However, they come at the cost of unavoidable vendor-lock in.See details»
omegaml (omega-ml) - GitHub
Https://omegaml.io. omega|ml Commercial Edition provides security on every level and is ready made for Kubernetes deployment. It is licensed separately for on-premise, private or hybrid …See details»
Patrick Senti - Medium
Dec 15, 2019 Read writing from Patrick Senti on Medium. Senior Data Scientist, Machine Learning Engineer, Fullstack Software Engineer. Founder at omega|ml, productizing AI/ML the easy way. https://omegaml.io.See details»
omega|ml — deploying data & machine learning pipelines the …
Apr 8, 2019 omega|ml is provided as a ready-to-deploy docker image for docker-compose and as software-as-a service at https://omegaml.io (currently in Beta). An on-premise edition for …See details»
MLOps for humans — omega-ml 0.16.3 documentation
MLOps for humans ¶. for humans means omega-ml solves the hard parts in model deployment, so you don’t have to waste time building complex infrastructure.. Contents. MLOps for …See details»
omegaml.io - Hugging Face
None public yet. datasets. None public yetSee details»
omegaml/apps: a library of apps built with omega|ml - GitHub
Omega|ml provides all components to develop and run analytics and machine learning applications, from lab to production: data store - ready to go, without a need to set it up (using …See details»
MLOps for humans — omega-ml 0.16.3 documentation
MLOps for humans¶. omega-ml is the innovative Python-native MLOps platform that provides a scalable development and runtime environment for your Data Products.See details»
Why are we using "pythonlib:/app/pylib"? - community.omegaml.io
Oct 13, 2020 In the omegaml/README.md it is pointed, that we need to install our package in "pylib". 6.Install your package created above # install in pylib $ mkdir /path/to/pylib $ pip install …See details»
MLOps for humans — omega-ml 0.16.4 documentation - GitHub …
MLOps for humans¶. omega-ml is the innovative Python-native MLOps platform that provides a scalable development and runtime environment for your Data Products.See details»
omegaml - PyPI
Https://omegaml.io. omega|ml Commercial Edition provides security on every level and is ready made for Kubernetes deployment. It is licensed separately for on-premise, private or hybrid …See details»
Connect to OmegaML MongoDB — omega|ml community
Feb 1, 2021 Are there any options to check if authentication was successful, or maybe you can briefly describe the flow, how the OmegaML + Celery + MongoDB works together? Share on …See details»