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AI App Catalogue

Dash Enterprise > Low-Code Development > AI App Catalogue

Dash is the fastest way to deploy front ends for ML back ends such as PyTorch, Keras, and TensorFlow.

At Plotly, we recognize Python and open source as the most proven vehicles for delivering cutting-edge ML & AI to the business world.

To accelerate AI adoption among businesses, Dash Enterprise ships with dozens of ML & AI templates that can be easily customized for your own data.

Select an option below or continue scrolling to demo the latest in Python ML & AI through Dash user interfaces.

Computer Vision | Object Detection | Natural Language Processing | Explainable AI | Predictive Analytics | Model Training | Clustering | Speech & Voice Recognition

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"The distinguishing factor between PowerBI and what Dash NLP analytic apps can do, is offer that next step up of a 'cognitive dashboard' rather than all the other standard dashboards out there.

Finding value in data is not as easy as it once was, and applying filters and joins is not as sufficient as it used to be. Adding that next step when it comes to answering the question 'what else is there?' is where the market has headed."

Global pharmaceutical company & Dash Enterprise Kubernetes customer

Computer Vision

One-shot Semantic Segmentation 
t-SNE Explorer
Handwriting recognition
Mnist Explorer
Basketball Player Pose Estimation
Generative Adversarial Network (GAN)
3D Brain Annotation

One-shot Semantic Segmentation

This Dash app uses machine learning in order to compute the segmentation of an image, given user-provided annotations. In addition to Plotly and Dash, the app uses off-the-shelf algorithms and estimators from PyData packages, namely scikit-image and scikit-learn

Access this Dash app and get the Python code. 

Object Detection

Real-time Object Detection  
Video Object Detection 
DETR Object Detection  
Image Annotation App
Video Annotation 

Real-time Object Detection   

This Dash app shows how Dash can be used to execute AI models like the YOLO v3 object-detection algorithm in real-time. Check out this article for full details. 

Access this Dash app and get the Python code. 

Natural Language Processing

Customer Complaints Analysis
Product Reviews Insights
Word Embedding Arithmetics
Named Entity Recognition

Customer Complaints Analysis 

This Dash app performs natural language processing on a database of consumer complaints towards US financial institutions. Compare consumer complaint sentiments between Wells Fargo, Citibank, Equifax, JP Morgan and dozens of other institutions. 

Access this Dash app and get the Python code. 

Explainable AI

Support Vector Machine
Heart Disease Prediction   
Loan Grade Classification
High Dimensional Plotting

Support Vector Machine

This app lets you explore support vector clustering (a type of support vector machine) with UI input parameters. Toy datasets and useful ML metrics plots are included. It is fully written in Dash + scikit-learn.

This app's source code is available in Python and R.

Predictive Analytics

Interest Rate Modeling
Sales Forecasting   

Interest Rate Modeling 

This Dash lets you train and evaluate a L2 regression (Ridge) model for predicting the interest rates of loans based on various factors. It lets you see how well a model performs (actual vs predicted plot), as well as compare the importance of these features. To read the model data, this Dash app connects to a Snowflake data warehouse. 

Access this Dash app and get the Python code. 

Model Training

Live Model Training
Customer Review Machine Learning

Live Model Training

This real-time visualization app monitors core metrics of your Tensorflow graphs during the training so that you can quickly detect anomalies within your model.

Find this app source code from https://github.com/plotly/dash-sample-apps/tree/master/apps/dash-live-model-training.

Clustering

COVID-19 Research Knowledge Discovery
Real Estate Spatial Clustering

COVID-19 Research Knowledge Discovery

This app demonstrates the use of Dash Cytoscape and t-SNE to display the output of Latent Dirichlet Allocation (LDA) analysis on the CORD-19 dataset of literature related to COVID-19. 

Access this Dash app and get the Python code. 

Speech & Voice Recognition

Voice Computing

Voice Computing

Dash is the fastest way to deploy Python-based apps for voice computing. 

Use voice computing + Dash for:

  • Audio transcription
  • Speech recognition
  • Intent detection
  • Text-to-speech
  • Signal processing

This Dash app demos speech recognition in ~100 lines of Python code

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