Slides from the Global Power Platform Bootcamp 2023 | Milan Edition

A reference .NET application implementing an eCommerce site

Range Slider Control using Powerapps Component Framework

Project Management Custom Components for Power Platform Canvas Apps

This is a dataset Component with filters with date filters where the date Column can be assinged

Energy Efficiency Rating Control allows you to set rating via slider and it will show the visual representation of the rating below.

Reusable PowerApps canvas components

Examples to accompany the "Raspberry Pi Pico Python SDK" book.

The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment

Solution to Challenge 2 from the Azure Function course

Building C# Azure Function with Nethereum

Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).

C Sharp Data Structures and Algorithms, published by Packt

Integrate cutting-edge LLM technology quickly and easily into your apps

Samples to demonstrate pathways for Retrieval Augmented Generation (RAG) for Azure Data

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

This collection demonstrates how to help you to quickly embed Watson NLP in your own applications.

Building LLM apps with Text Tensors using PyTorch concepts and text gradients

CHBE 356 - Process Dynamics and Control

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Implementation of t-SNE visualization using C#

Core Components for the Dymaptic GeoBlazor Library

Tutorials for the KBS robotics labs

time series forecasting with deep learning

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)