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DASH ENTERPRISE
AI App Catalog
Dash is the fastest way to deploy front ends for ML back ends such as PyTorch, Keras, and TensorFlow.
About AI App Catalog
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.
Dash helps data scientist & quants operationalize Python models
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 Customer
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.
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.
t-SNE Explorer
- T-SNE is a visualization algorithm that projects your high-dimensional data into a 2D or 3D space so that you can explore the spatial distribution of your data.This t-SNE Explorer lets you interactively explore iconic image datasets such as MNIST, and state-of-the-art word embeddings such as GloVe, with all the computation done ahead of time. This app's source code is available in Python.
Handwriting Recognition
- This app uses Optical Character Recognition (OCR) to convert handwriting into text. Access the source code.
Mnist Explorer
- This app applies T-SNE on the images from the fashion mnist dataset, which reduces each image to a two dimensional embedding to visualize the similarity between images. Clusters represent similar images, and the greater the distance between two points, the less similar the images are. The app also allows to predict the class of each image using a simple convolutional neural network (CNN). The T-SNE embeddings were generated using RAPIDS cuML, and the CNN was trained using Keras. App is available in Python.
Basketball Player Pose Estimation
- Learn more about this app in our post: 7 Dash Apps Bringing AI & ML to Sports Analytics. Reach out to us for the source code.
Generative Adversarial Network (GAN)
- GAN is a type of machine learning model that uses a generator and discriminator neural network to generate outputs. We used GAN and PyTorch to produce a Dash app that generates realistic face images based on a selection of user-chosen physical features. Try the app!
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.
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.