Difference between revisions of "Graphical Tools for Modeling AI Components"
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<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="900" height="500"> | ||
| − | + | === [http://lobe.ai/ lobe] === | |
| − | + | === [http://www.cognitivescale.com/ CognitiveScale] - [https://www.cognitivescale.com/cortex/ Cortex Studio] === | |
| − | + | === RapidMiner === | |
| − | + | === Orange === | |
| − | + | === Dataiku === | |
| − | + | === [http://dianne.intec.ugent.be/ Dianne] === | |
| − | + | === [[TensorFlow]] === | |
| − | + | * [http://playground.tensorflow.org Playground] | |
| − | + | * [[TensorBoard]] | |
| − | + | === [http://developer.nvidia.com/digits NVIDIA Deep Learning GPU Training System (DIGITS)] === | |
| − | + | === [[H2O]] - [http://www.h2o.ai/products/h2o-driverless-ai/ Driverless AI] === | |
| − | + | === [[Microsoft]] [http://azure.microsoft.com/en-us/services/machine-learning/ Azure] - [http://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-create-portal-experiments Azure Machine Learning studio] === | |
| − | + | === [[IBM]] - [https://www.ibm.com/cloud/watson-studio Watson Studio] === * [http://www.ibm.com/products/spss-modeler SPSS Modeler] | |
| + | |||
| − | |||
<youtube>mGv0Nle_NrQ</youtube> | <youtube>mGv0Nle_NrQ</youtube> | ||
Revision as of 14:14, 7 December 2019
YouTube Search ...Google search
- Development
- Model Zoo
- 10 Tools for Modeling AI Components – Machine Learning without the code | Jordi Cabot - Modeling Languages
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
Contents
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
