Difference between revisions of "Graphical Tools for Modeling AI Components"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
}} | }} | ||
| + | [https://www.youtube.com/results?search_query=GUI+Graphical+Tool+Model+drag+drop+machine+learning+AI YouTube Search] | ||
| + | [https://www.google.com/search?q=GUI+Graphical+Tool+Model+drag+drop+machine+learning+AI ...Google search] | ||
| − | [http://www. | + | * [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]] |
| − | [ | + | * [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless]] ... [[Hugging Face]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]] |
| + | * [http://www.asimovinstitute.org/author/fjodorvanveen/ Neural Network Zoo | Fjodor Van Veen] | ||
| + | * [https://modeling-languages.com/tools-modeling-artificial-intelligence-code/ 10 Tools for Modeling AI Components – Machine Learning without the code | Jordi Cabot - Modeling Languages] | ||
| + | * [https://www.analyticsvidhya.com/blog/2018/05/19-data-science-tools-for-people-dont-understand-coding/ 19 Data Science and Machine Learning Tools for people who Don’t Know Programming | Aarshay Jain - Analytics Vidhya] | ||
| + | * [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
| − | |||
| − | |||
| − | |||
| + | 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 | ||
| − | + | === [https://www.knime.com/ KNIME] === | |
| − | + | [https://www.youtube.com/results?search_query=KNIME+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] | |
| − | === [ | + | [https://www.google.com/search?q=KNIME+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
| − | [ | ||
| − | [ | ||
Generic data analytics platform that can be used for a multitude of tasks. KNIME comes with over 2000 different types of nodes | Generic data analytics platform that can be used for a multitude of tasks. KNIME comes with over 2000 different types of nodes | ||
* [https://github.com/knime/ KNIME] | * [https://github.com/knime/ KNIME] | ||
| − | * [ | + | * [https://www.knime.com/knime-for-data-scientists KNIME for Data Scientists] |
| − | * [ | + | * [https://www.knime.com/deeplearning KNIME Deep Learning] |
| − | * [ | + | * [https://github.com/knime/ Project on GitHub] |
<youtube>mGv0Nle_NrQ</youtube> | <youtube>mGv0Nle_NrQ</youtube> | ||
<youtube>n8HbUUc51fc</youtube> | <youtube>n8HbUUc51fc</youtube> | ||
| − | === [ | + | === [https://perceptilabs.readme.io/docs PerceptiLabs] === |
| − | [ | + | [https://www.youtube.com/results?search_query=PerceptiLabs+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=PerceptiLabs+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
| + | |||
| + | <img src="https://venturebeat.com/wp-content/uploads/2019/12/percetiplabs-demo-2.jpg" width="700" height="450"> | ||
| − | |||
<youtube>rVG7tqh246A</youtube> | <youtube>rVG7tqh246A</youtube> | ||
<youtube>j8e8NHExUas</youtube> | <youtube>j8e8NHExUas</youtube> | ||
| − | === [ | + | === [https://lobe.ai/ lobe] === |
| − | [ | + | [https://www.youtube.com/results?search_query=lobe+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=lobe+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
Teach your app to see emotions. Build, train, and ship custom deep learning models using a simple visual interface. | Teach your app to see emotions. Build, train, and ship custom deep learning models using a simple visual interface. | ||
| Line 46: | Line 49: | ||
<youtube>IN69suHxS8w</youtube> | <youtube>IN69suHxS8w</youtube> | ||
| − | === [ | + | === [https://rapidminer.com/ RapidMiner] === |
| − | [ | + | [https://www.youtube.com/results?search_query=RapidMiner+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=RapidMiner+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
| − | * [ | + | * [https://www.youtube.com/watch?v=g5hI6wmdijM&list=PL8l7AbNQ9MfQWIwifBuCFbw8PYwur5znc RapidMiner Studio Tutorial Videos] |
| − | includes over 60 file types and formats for structured and unstructured data, built-in templates and repeatable workflows. | + | Covers the entire life-cycle of prediction modeling, starting from data preparation to model building and finally validation and deployment. - includes over 60 file types and formats for structured and unstructured data, built-in templates and repeatable workflows. Custom R and [[Python]] scripts can be integrated into the system. |
<youtube>g5hI6wmdijM</youtube> | <youtube>g5hI6wmdijM</youtube> | ||
<youtube>jIq3rTbOaZQ</youtube> | <youtube>jIq3rTbOaZQ</youtube> | ||
| − | === [ | + | === [https://www.datarobot.com/ DataRobot (DR)] === |
| − | [ | + | [https://www.youtube.com/results?search_query=DataRobot+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=DataRobot+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
| − | * [ | + | * [https://blog.datarobot.com/drag-and-drop-is-not-enough Drag-and-Drop is Not Enough!] |
| + | |||
| + | Claims to have obviated the need for data scientists. [[Python]] SDK and APIs available for quick integration of models into tools and software. | ||
| + | |||
| + | <youtube>cENIYiqJTNE</youtube> | ||
| + | <youtube>ir8ZIPJ8JPE</youtube> | ||
| + | |||
| + | === [https://bigml.com/ BigML] === | ||
| + | [https://www.youtube.com/results?search_query=BigML+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] | ||
| + | [https://www.google.com/search?q=BigML+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] | ||
| + | |||
| + | * [https://www.youtube.com/watch?v=6xbNpILmQYo&list=PL1bKyu9GtNYHAk0PUojkLYZzASoYVcsTQ BigML Education videos] | ||
| + | |||
| + | Monthly, quarterly and yearly subscriptions. | ||
| + | |||
| + | <youtube>w0jRGVwDHn4</youtube> | ||
| + | <youtube>qNcYUl3uEMU</youtube> | ||
| + | |||
| + | === [https://deepcognition.ai/ Deep Cognition] [https://deepcognition.ai/products/desktop/ Deep Learning Studio] === | ||
| + | [https://www.youtube.com/results?search_query=Deep+Cognition+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] | ||
| + | [https://www.google.com/search?q=Deep+Cognition+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] | ||
| + | |||
| + | * [https://becominghuman.ai/deep-learning-made-easy-with-deep-cognition-403fbe445351 Deep Learning made easy with Deep Cognition | Favio Vázquez - Towards Data Science - Medium] | ||
| + | * [https://towardsdatascience.com/a-video-walkthrough-of-deep-cognition-fd0ca59d2f76 A video walkthrough of Deep Cognition | Favio Vázquez - Towards Data Science - Medium] | ||
| + | * [https://towardsdatascience.com/towards-an-easier-deep-learning-life-with-deep-cognition-8fa8f41ca672 Towards an Easier Deep Learning Life with Deep Cognition | Favio Vázquez - Medium] | ||
| + | |||
| + | Drag and drop neural networks and create Deep Learning models with [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
| + | |||
| + | https://deepcognition.ai/wp-content/uploads/2018/07/VisualIDE.gif | ||
| + | |||
| + | <youtube>KtpJRniojW8</youtube> | ||
| + | <youtube>V4XzKi8C034</youtube> | ||
| + | |||
| + | === [https://orange.biolab.si/ Orange] === | ||
| + | [https://www.youtube.com/results?search_query=Orange+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] | ||
| + | [https://www.google.com/search?q=Orange+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] | ||
| + | |||
| + | * [https://www.youtube.com/channel/UClKKWBe2SCAEyv7ZNGhIe4g Orange Data Mining videos] | ||
Open source machine learning and data visualization toolkit. Data analysis is done by linking widgets in workflows. Each widget may embed some data retrieval, preprocessing, visualization, modeling or evaluation tasks. A considerable number of predefined widgets are available but you can also build your own. | Open source machine learning and data visualization toolkit. Data analysis is done by linking widgets in workflows. Each widget may embed some data retrieval, preprocessing, visualization, modeling or evaluation tasks. A considerable number of predefined widgets are available but you can also build your own. | ||
| − | <youtube> | + | <youtube>HXjnDIgGDuI</youtube> |
| − | <youtube> | + | <youtube>lb-x36xqJ-E</youtube> |
| − | === [ | + | === [https://www.dataiku.com/ Dataiku] === |
| − | [ | + | [https://www.youtube.com/results?search_query=Dataiku+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=Dataiku+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
Integrates with a large number of other tools, from notebooks to chart libraries for data visualization and all major machine learning libraries. Once the pipeline is setup, you can bundle it as a single deployable package for real-time predictions via a REST API. | Integrates with a large number of other tools, from notebooks to chart libraries for data visualization and all major machine learning libraries. Once the pipeline is setup, you can bundle it as a single deployable package for real-time predictions via a REST API. | ||
| Line 77: | Line 117: | ||
<youtube>2-QH5tQQht8</youtube> | <youtube>2-QH5tQQht8</youtube> | ||
| − | === [ | + | === [https://dianne.intec.ugent.be/ Dianne] === |
| − | [ | + | [https://www.youtube.com/results?search_query=Dianne+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=Dianne+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
Neural networks are built as a directed graph. DIANNE comes with a web-based UI builder to drag-and-drop neural network modules and link them together. | Neural networks are built as a directed graph. DIANNE comes with a web-based UI builder to drag-and-drop neural network modules and link them together. | ||
| − | <img src=" | + | <img src="https://dianne.intec.ugent.be/doc/figures/ui.png" width="700" height="450"> |
=== [[TensorFlow]] === | === [[TensorFlow]] === | ||
| − | [ | + | [https://www.youtube.com/results?search_query=TensorFlow+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=TensorFlow+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
| − | * [ | + | * [[TensorFlow Playground]] |
<youtube>ru9dXF04iSE</youtube> | <youtube>ru9dXF04iSE</youtube> | ||
| Line 96: | Line 136: | ||
<youtube>OI4cskHUslQ</youtube> | <youtube>OI4cskHUslQ</youtube> | ||
| − | === [ | + | === [[NVIDIA]] [https://developer.nvidia.com/digits Deep Learning GPU Training System (DIGITS)] === |
| − | [ | + | [https://www.youtube.com/results?search_query=NVIDIA+DIGITS+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=NVIDIA+DIGITS+drop+machine+learning ...Google search] |
| − | Builds on top of TensorBoard to visualize deep neural networks | + | Builds on top of [[TensorBoard]] to visualize deep neural networks |
<youtube>y3IKOxJL9RE</youtube> | <youtube>y3IKOxJL9RE</youtube> | ||
<youtube>KvktlohexKc</youtube> | <youtube>KvktlohexKc</youtube> | ||
| − | === [[H2O]] - [ | + | === [[H2O]] - [https://www.h2o.ai/products/h2o-driverless-ai/ Driverless AI] === |
| − | [ | + | [https://www.youtube.com/results?search_query=H2O+Driverless+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=H2O+Driverless+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
| + | |||
| + | * [https://towardsdatascience.com/h2o-for-inexperienced-users-7bc064124264 H2O for Inexperienced Users | Abhay Singhal - Towards Data Science - Medium] | ||
| + | |||
| + | For automated [[Visualization]], feature engineering, model training, [[Algorithm Administration#Hyperparameter|hyperparameter]] optimization, and explainability. | ||
<youtube>7Cusb3B8jcM</youtube> | <youtube>7Cusb3B8jcM</youtube> | ||
<youtube>GMtgT-3hENY</youtube> | <youtube>GMtgT-3hENY</youtube> | ||
| − | === [[Microsoft]] [ | + | === [[Microsoft]] [https://azure.microsoft.com/en-us/services/machine-learning/ Azure] - [https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-create-portal-experiments Azure Machine Learning studio] === |
| − | [ | + | [https://www.youtube.com/results?search_query=Azure+Machine+Learning+studio+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=Azure+Machine+Learning+studio+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
| − | * [ | + | * [https://www.youtube.com/watch?v=uBYu_yrz_ZQ&list=PL8eNk_zTBST_WSR_KUBex8TDnQ21GetSG Introduction to Azure Machine Learning Studio] |
* [https://www.youtube.com/watch?v=ljHtItiZHho&list=PLe9UEU4oeAuXMUWqhhJQrGVWzUWY6pS9j Azure Machine Learning Studio] | * [https://www.youtube.com/watch?v=ljHtItiZHho&list=PLe9UEU4oeAuXMUWqhhJQrGVWzUWY6pS9j Azure Machine Learning Studio] | ||
| Line 123: | Line 167: | ||
=== [[IBM]] - [https://www.ibm.com/cloud/watson-studio Watson Studio] === | === [[IBM]] - [https://www.ibm.com/cloud/watson-studio Watson Studio] === | ||
| − | [ | + | [https://www.youtube.com/results?search_query=IBM+Watson+Studio+Graphical+Tool+Model+drag+drop+machine+learning YouTube Search] |
| − | [ | + | [https://www.google.com/search?q=IBM+Watson+Studio+Graphical+Tool+Model+drag+drop+machine+learning ...Google search] |
| − | * [ | + | * [https://www.ibm.com/products/spss-modeler SPSS Modeler] |
<youtube>G99kYP3GYzE</youtube> | <youtube>G99kYP3GYzE</youtube> | ||
<youtube>GSQ9DSa8rWk</youtube> | <youtube>GSQ9DSa8rWk</youtube> | ||
Latest revision as of 21:54, 26 April 2024
YouTube Search ...Google search
- Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
- Development ... Notebooks ... AI Pair Programming ... Codeless ... Hugging Face ... AIOps/MLOps ... AIaaS/MLaaS
- Neural Network Zoo | Fjodor Van Veen
- 10 Tools for Modeling AI Components – Machine Learning without the code | Jordi Cabot - Modeling Languages
- 19 Data Science and Machine Learning Tools for people who Don’t Know Programming | Aarshay Jain - Analytics Vidhya
- Artificial General Intelligence (AGI) to Singularity ... Curious Reasoning ... Emergence ... Moonshots ... Explainable AI ... Automated Learning
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
YouTube Search ...Google search
Generic data analytics platform that can be used for a multitude of tasks. KNIME comes with over 2000 different types of nodes
PerceptiLabs
YouTube Search ...Google search
lobe
YouTube Search ...Google search
Teach your app to see emotions. Build, train, and ship custom deep learning models using a simple visual interface.
RapidMiner
YouTube Search ...Google search
Covers the entire life-cycle of prediction modeling, starting from data preparation to model building and finally validation and deployment. - includes over 60 file types and formats for structured and unstructured data, built-in templates and repeatable workflows. Custom R and Python scripts can be integrated into the system.
DataRobot (DR)
YouTube Search ...Google search
Claims to have obviated the need for data scientists. Python SDK and APIs available for quick integration of models into tools and software.
BigML
YouTube Search ...Google search
Monthly, quarterly and yearly subscriptions.
Deep Cognition Deep Learning Studio
YouTube Search ...Google search
- Deep Learning made easy with Deep Cognition | Favio Vázquez - Towards Data Science - Medium
- A video walkthrough of Deep Cognition | Favio Vázquez - Towards Data Science - Medium
- Towards an Easier Deep Learning Life with Deep Cognition | Favio Vázquez - Medium
Drag and drop neural networks and create Deep Learning models with Automated Learning
Orange
YouTube Search ...Google search
Open source machine learning and data visualization toolkit. Data analysis is done by linking widgets in workflows. Each widget may embed some data retrieval, preprocessing, visualization, modeling or evaluation tasks. A considerable number of predefined widgets are available but you can also build your own.
Dataiku
YouTube Search ...Google search
Integrates with a large number of other tools, from notebooks to chart libraries for data visualization and all major machine learning libraries. Once the pipeline is setup, you can bundle it as a single deployable package for real-time predictions via a REST API.
Dianne
YouTube Search ...Google search
Neural networks are built as a directed graph. DIANNE comes with a web-based UI builder to drag-and-drop neural network modules and link them together.
TensorFlow
YouTube Search ...Google search
NVIDIA Deep Learning GPU Training System (DIGITS)
YouTube Search ...Google search
Builds on top of TensorBoard to visualize deep neural networks
H2O - Driverless AI
YouTube Search ...Google search
For automated Visualization, feature engineering, model training, hyperparameter optimization, and explainability.
Microsoft Azure - Azure Machine Learning studio
YouTube Search ...Google search
IBM - Watson Studio
YouTube Search ...Google search