Industry App Catalog

AV Lidar Visualization

This Dash app loads scenes collected from self-driving car trips, and displays both lidar sensor data and human annotated data (bounding boxes). You can choose between a basic and an advanced UI. Get the source code and read the blog post. 

Access this Dash app and get the Python code. 

Lyft AV Explorer 

This Dash app shows how to build a real-time AV explorer from scratch using Dash Deck and the Lyft perception dataset. The code is easily customizable and also compatible with 3D detection models written in Python. 

Access this Dash app and get the Python code. 

Video Annotation 

Given a pre-annotated video, this Dash app lets you run 2D object detection on a selected frame. You can also edit the annotations, add new bounding boxes, and export the new data table. 

Access this Dash app and get the Python code. 

DETR Object Detection  

The release of DETR: End-to-End Object Detection with Transformers showed significant improvement in real-time object detection and panoptic segmentation (PS), while greatly simplifying the architecture. As a mean to test the model, we decided to build a simple Dash app that let you experiment and play with the model through a user interface. 

Access this Dash app and get the Python code. 

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. 

Uber Price Prediction  

This Dash app analyzes 120 million Uber trips in real-time to predict the cost of Uber trips through NYC. Read the blog post. 

Access this Dash app and get the Python code. 

Loan Grade Classification AI

This Dash app uses pre-trained Decision Tree Classifiers to perform real-time predictions on tabular data (information about a loan applicant that was recorded by a lending firm). To read the model data, this Dash app connects to a Snowflake data warehouse. 

Access this Dash app and get the Python code. 

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. 

NLP on Bank Complaints  

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. 

Sales Forecasting   

This Dash app uses Facebook's Prophet time series forecasting model to perform predictive analysis of regional sales. The data was collected for locations across various states and for various market segments, and the model was used to forecast future sales, which is useful for making informed decision and infer the supply needed for future months. 

Access this Dash app and get the Python code. 

Portfolio Optimization 

This Dash app simulates the efficient frontier of a set of portfolios based on the Monte Carlo method, then generates a 16 page report of the result. 

Access this Dash app and get the Python code. 

Financial Reporting 

This Dash app demonstrates the use of Design Kit and Snapshot Engine for generating enterprise-grade, interactive reports with Python and Dash. 

Access this Dash app and get the Python code. 

COVID Chest X-Rays 

This Dash app allows users to annotate medical image datasets of COVID-19 patients in order to extract a lung occlusion (and train machine learning models).  

Access this Dash app and get the Python code. 

ML Image 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. 

Non-ML Image Segmentation 

This Dash app segments an image into regions with scikit-image and computes a number of properties for these regions such as their area, their perimeter length, etc. Each region is then annotated on the image and entered in a Dash DataTable. The annotated image and the DataTable are dynamically linked together, so that interacting with one changes the displayed information in the other. 

Access this Dash app and get the Python code. 

3d Brain Annotation 

This app allows you to:

• Interactively move through sliced representations of the brain
• See an overlay of the automatically computed over-segmentation of the brain into superpixels (regions of the brain)
• Highlight one or several superpixels
• See the highlighted superpixels rendered in a 3D glass brain representation
• Download a file with that contains the highlighted superpixels 

Access this Dash app and get the Python code.