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botbuilder-samples

Welcome to the BotBuilder samples repository. Here you will find task-focused samples in C# and Node.js to help you get started with the Bot Builder SDK!

codedefectai

Code Defect AI

dice

Generate Diverse Counterfactual Explanations for any machine learning model.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

flask-react-postgres

flask-webapp-quickstart

Flask quickstart for running in azure web apps

gradslam

gradslam is an open source differentiable dense SLAM library for PyTorch

ibex-dashboard

Custom Analytics Dashboard for Microsoft Bot Framework and other applications as well

interpret

Fit interpretable models. Explain blackbox machine learning.

mslearn-apim-and-functions

Repository for Microsoft Learn module: Expose multiple function apps as a consistent API by using Azure API Management

primitive

Reproducing images with geometric primitives.

shap

A game theoretic approach to explain the output of any machine learning model.

webhooktest

Trigger webhook events and handle in Azure functions