Stars
Labs for QGSS 2025. Lectures notes can be found in a separate repo: https://github.com/qiskit-community/qgss-2025-lecture-notes
Efficient and accurate explanation estimation with distribution compression (ICLR 2025 Spotlight)
Modern Time Series Forecasting with Python 2E, Published by Packt
An implementation of the 5-Qubit Perfect Error Correction Code in Q#
This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mastering CUDA programming. Whether you're just starting or look…
Python-centered read-along of Forecasting: Principles and Practice
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Shapley Interactions and Shapley Values for Machine Learning
Azure Databricks Cookbook, Published by Packt
Code Repository for Data Science and Machine Learning with Python - Hands On!, Published by Packt
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l…
Solving the Traveling Salesman Problem using Self-Organizing Maps
A toolkit for inference and evaluation of 'mixtral-8x7b-32kseqlen' from Mistral AI
Codes for efficiently implementing quantum neural network classifiers
This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".
This repository contains demo projects demonstrating best practices and recommendations for incorporating Azure Cache for Redis into cloud-native applications on various platforms
General analysis tools for the DC2 Data Set.
An AI code interpreter for sensitive data, powered by GPT-4 or Code Llama / Llama 2.
Create bots, AIs and assistants that get things done right from your inbox
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.