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dpsda

Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]

dpsgd-calculator

dpu-utils

Utilities used by the Deep Program Understanding team

dr-jekyll-and-mr-hyde-the-strange-case-of-off-policy-policy-updates

Code for Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates: https://arxiv.org/abs/2109.14727

dragon-copilot-extension-samples

dragon-copilot-sdk-samples

Samples and guidance around integrating Dragon Copilot SDK for Javascript.

driver-utilities

Driver utilities for building static analysis and other command-line tools.

driver_safety_analysis

Estimating driver safety for connected cars

dromedary

Dromedary 🐪 is an AI Agent runtime that is prompt-injection resistant by design.

dronerescue

This sample demonstrates how to bring AI to edge devices, by using AirSim to generate synthetic training data for a Custom Vision model and then how to deploy the model to edge devices.

drug-interaction-research

drumkit-wp

Drumkit XNA is a virtual drumkit that lets you play percussion sounds by tapping sound pads. The application contains two views for playing, a simple view with 2D pads and a whole 3D like drumset to play with. You can record your beats and play them back afterwards. It is also possible to play the drums on top of your last recording.

drumkitx

A Windows Phone 8 port of the ​Drumkit XNA example using Direct3D and XAudio for fast graphics and low latency sample playback. This demo app lets you play percussion sounds by tapping the screen. You can record your beats, play them back later and also play drums on top of your latest recording.

dsb

The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. DSB is adapted from the widely-used industrialstandard TPC-DS benchmark. It enhances the TPC-DS benchmark with complex data distribution and challenging yet semantically meaningful query templates. DSB also introduces configurable and dynamic workloads to assess the adaptability of database systems. Since workload-driven and traditional database systems have different performance dimensions, including the additional resources required for tuning and maintaining the systems, we provide guidelines on evaluation methodology and metrics to report.

dsc-data-driven-deployment

This is a Proof of Concept Project on how a database solution can be utilized to manage DSC configurations. Metadata for the configuration is stored in JSON within the database so that it can be easily retrieved and deployed. Credentials are also stored securely in the database. The project consists of a database schema and a PowerShell module which has a series of functions.

dscea

DSC Environment Analyzer (DSCEA) is a simple implementation of PowerShell Desired State Configuration that uses the declarative nature of DSC to scan systems in an environment against a defined reference MOF file and generate compliance reports as to whether systems match the desired configuration.

dscparser

Allows the conversion of DSC scripts into PSObject for analysis purposes

dsjapan-azurecsa-cws-git

dsl-copilot

dsp-plus

Implementation and subsequent optimization for "Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models"

dstc8-meta-dialog

Baseline implementation for DSTC8 User Response Prediction Challenge

dstc8-reddit-corpus

Code to generate the Reddit corpus for the DSTC 8 competition Multi-Domain End-to-End Track, Fast Adaptation Task

dstoolkit-ai-jumpstart-kit

Toolkit designed to streamline and accelerate the adoption of AI technologies.

dstoolkit-ai-ux

Gallery for Industry AI demos

dstoolkit-anomaly-detection-ijungle

This is a repo to implement Anomaly Detection which is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations.

dstoolkit-aoaiflaskapp

dstoolkit-autoencoder

dstoolkit-azoda

Azure Object Detection Accelerator. A repo for quickly and easily setting up a sample object detection project with training, labelling, inference, testing and deployment. The repo uses a synthetic dataset by default and shows how to use your own labelled or unlabelled dataset

dstoolkit-brainstormer

Brainstormer is based on OpenAI models to bridge the gap between client-specific business challenges and tangible use cases. Designed with data scientists and sales teams in mind, it functions as a cognitive assistant during the brainstorming process.

dstoolkit-classification-solution-accelerator

This is a classification solution accelerator to help you build and deploy a binary classification project.