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azure-openai-samples

Azure OpenAI Samples is a collection of code samples illustrating how to use Azure Open AI in creating AI solution for various use cases across industries. This repository is mained by a community of volunters. We welcomed your contributions.

azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

data-science-ml-full-stack-2022

Everything you need to know for data science.

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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.

iri

Matlab code to paper: F. Sroubek, M. Sorel, J. Zak: Precise International Roughness Index Calculation. Int. J. Pavement Res. Technol. (2021). https://doi.org/10.1007/s42947-021-00097-z

langchain

⚡ Building applications with LLMs through composability ⚡

langchain-hub

llm

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-university

Machine Learning Open Source University

mslearn-dp100

Lab files for Azure Machine Learning exercises

mslearn-openai

nlp-with-llms

Natural Language Processing with Large Language Models

openai-python

The official Python library for the OpenAI API

oreilly-retrieval-augmented-gen-ai

plotly-dashboards-with-dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

qce22-qiskit-runtime-tutorial

Materials for the QCE 2022 tutorial on Qiskit Runtime

qiskit-terra

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

rag-experiment-accelerator

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

simulai

A toolkit with data-driven pipelines for physics-informed machine learning.

slm-lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

tabformer

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

tdc-innovation-2023-nlp-overview

This repository contains the slides and code of the TDC Innovation lecture on NLP