Pinned Repositories
AutoAI
covid-19-sas
Collaboration space for SAS and others to understand, model, and mitigate COVID-19 through analytics
Demos
devsascom-rest-api-samples
This repository contains examples that show the capabilities of SAS REST APIs. You can use these examples for learning or for validating your environment. You are encouraged to contribute your own examples.
enlighten-apply
Example code and materials that illustrate applications of SAS machine learning techniques.
gentle-intro-stats-using-sas-studio
This repository contains the sample code for the book A Gentle Introduction to Statistics Using SASⓇ Studio.
ibm-generative-ai
IBM-Generative-AI is a Python library built on IBM's large language model REST interface to seamlessly integrate and extend this service in Python programs.
machine-learning
Content for Udacity's Machine Learning curriculum
model-mgmt-on-watson-studio-local
Feature Engineering and Model Deployments using Watson Studio Local
tensorflow
Computation using data flow graphs for scalable machine learning
nitika-virmani's Repositories
nitika-virmani/tensorflow
Computation using data flow graphs for scalable machine learning
nitika-virmani/AutoAI
nitika-virmani/covid-19-sas
Collaboration space for SAS and others to understand, model, and mitigate COVID-19 through analytics
nitika-virmani/Demos
nitika-virmani/devsascom-rest-api-samples
This repository contains examples that show the capabilities of SAS REST APIs. You can use these examples for learning or for validating your environment. You are encouraged to contribute your own examples.
nitika-virmani/enlighten-apply
Example code and materials that illustrate applications of SAS machine learning techniques.
nitika-virmani/gentle-intro-stats-using-sas-studio
This repository contains the sample code for the book A Gentle Introduction to Statistics Using SASⓇ Studio.
nitika-virmani/ibm-generative-ai
IBM-Generative-AI is a Python library built on IBM's large language model REST interface to seamlessly integrate and extend this service in Python programs.
nitika-virmani/machine-learning
Content for Udacity's Machine Learning curriculum
nitika-virmani/model-mgmt-on-watson-studio-local
Feature Engineering and Model Deployments using Watson Studio Local
nitika-virmani/open-model-manager-resources
This repository contains the start-up script for SAS Open Model Manager, as well as helper scripts for administration and customization.
nitika-virmani/python-dlpy
The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.
nitika-virmani/python-sasctl
The sasctl package enables easy communication between the SAS Viya platform and a Python runtime.
nitika-virmani/sas-visualanalytics-thirdpartyvisualizations
The data-driven content object enables you to display your data in a custom third-party visualization, within your SAS Visual Analytics report. The third-party visualization can be authored in any JavaScript charting framework, such as D3.js, Google Charts, or CanvasJS. The visualization in a data-driven content object receives its data query from SAS Visual Analytics, and so it interacts with filters, ranks, and object actions in the same way as the other objects in your report. For information about creating third-party visualizations for data-driven content, see Programming Considerations for Data-Driven Visualizations in SAS Visual Analytics: Reference.
nitika-virmani/sas-viya-dmml-pipelines
Code examples and supporting materials for data mining and machine learning techniques on the SAS Viya environment.
nitika-virmani/sas-viya-machine-learning
Code examples for machine learning techniques using the SAS Viya platform.
nitika-virmani/saspy-examples
Sample notebooks that show the capabilities of SASPy. Use these for learning and for validating your environment. And contribute your own!