ioModel

ioModel

Twin Tech Labs
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About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

About

ioModel is designed to provide existing analytics teams access to powerful machine learning models without having to write code, significantly reducing development and maintenance costs. Furthermore, analysts can then validate and understand the efficacy of models developed on the platform using well understood and proven statistical validation techniques. The ioModel Research Platform will do for machine learning what the spreadsheet did for general computing. The ioModel Research Platform is developed entirely using open source technology and is itself available (without support or warranty) under the GPL License on GitHub. We invite our community to collaborate with us on the roadmap, development, and governance of the Platform. We’re committed to working openly and transparently to drive forward analytics, modeling, and innovation..

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations interested in a powerful open source machine learning platform

Audience

Machine Learning solution for companies

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Company Information

Twin Tech Labs
Founded: 2017
United States
twintechlabs.io

Alternatives

Alternatives

Kaggle

Kaggle

Google

Categories

Categories

Machine Learning Supported

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported

Machine Learning Features

Deep Learning Supported
ML Algorithm Library Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported

Integrations

BHK Cloud Supported
Bayesforge Supported
Cerebrium Supported
Comet LLM Supported
Cyfuture Cloud Supported
DagsHub Supported
GPUonCLOUD Supported
Gemini Enterprise Agent Platform Supported
Gradient Supported
HStreamDB Supported
IBM Distributed AI APIs Supported
IBM Watson Studio Supported
Interplay Supported
Mona Supported
NVIDIA DeepStream SDK Supported
NVIDIA TensorRT Supported
OpenVINO Supported
VIKTOR Supported
teX.ai Supported

Integrations

BHK Cloud Not Supported
Bayesforge Not Supported
Cerebrium Not Supported
Comet LLM Not Supported
Cyfuture Cloud Not Supported
DagsHub Not Supported
GPUonCLOUD Not Supported
Gemini Enterprise Agent Platform Not Supported
Gradient Not Supported
HStreamDB Not Supported
IBM Distributed AI APIs Not Supported
IBM Watson Studio Not Supported
Interplay Not Supported
Mona Not Supported
NVIDIA DeepStream SDK Not Supported
NVIDIA TensorRT Not Supported
OpenVINO Not Supported
VIKTOR Not Supported
teX.ai Not Supported
Claim TensorFlow and update features and information
Claim TensorFlow and update features and information
Claim ioModel and update features and information
Claim ioModel and update features and information