Difference between revisions of "Graphical Tools for Modeling AI Components"

From
Jump to: navigation, search
(PerceptiLabs)
Line 27: Line 27:
  
 
=== [http://perceptilabs.readme.io/docs PerceptiLabs] ===
 
=== [http://perceptilabs.readme.io/docs PerceptiLabs] ===
<img src="http://venturebeat.com/wp-content/uploads/2019/12/percetiplabs-demo-2.jpg" width="900" height="500">
+
<img src="http://venturebeat.com/wp-content/uploads/2019/12/percetiplabs-demo-2.jpg" width="800" height="500">
<youtube>mGv0Nle_NrQ</youtube>
+
<youtube>rVG7tqh246A</youtube>
<youtube>Nc8kZABv-KE</youtube>
+
<youtube>j8e8NHExUas</youtube>
  
 
=== [http://lobe.ai/ lobe] ===
 
=== [http://lobe.ai/ lobe] ===

Revision as of 15:58, 7 December 2019

YouTube Search ...Google search


These range from a new interface for a tool that completely automates the process of creating models, to a new no-code visual interface for building, training and deploying models, all the way to hosted Jupyter-style notebooks for advanced users. Tools that allow visual drag-and-drop interface to streamline and simplify your process

KNIME

Generic data analytics platform that can be used for a multitude of tasks. Knime comes with over 2000 different types of nodes


PerceptiLabs

lobe

CognitiveScale - Cortex Studio

RapidMiner

Orange

Dataiku

Dianne

TensorFlow

NVIDIA Deep Learning GPU Training System (DIGITS)

H2O - Driverless AI

Microsoft Azure - Azure Machine Learning studio

=== IBM - Watson Studio === * SPSS Modeler