gergues Goto Github PK

ai-in-a-box

aml-kubernetes

AzureML customer managed k8s compute samples

aml_envs

Azure Machine Learning Environments

amlsecurity

How to provision Azure Machine Learning workspace and related resources in a secure way

analyzing-visualizing-data-excel

apim-policy-snippets

asm-doc

asm-docs

asm-docs-sample

awesome-data-centric-ai

Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

awesome-dbt

A curated list of awesome dbt resources

awesome-python-for-data-science

A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊

azure-sentinel-notebooks

Interactive Azure Sentinel Notebooks provides security insights and actions to investigate anomalies and hunt for malicious behaviors.

azurechat

🤖 💼 Azure Chat Solution Accelerator powered by Azure Open AI Service

chatcompletionsgui

This is a simple Graphical User Interface (GUI) application for working with the OpenAI API, allowing you to use OpenAI's Chat Completions (GPT-3.5-turbo and GPT-4) in your local desktop environment.

chatgpt-quickstart

Build a chat application using Azure OpenAI with ChatGPT.

clouddesignpatterns

Welcome to the GitHub repository of the cloud design patterns. This repository contains the examples for the Pluralsight course series: Cloud Design Patterns for Azure. You can download a copy and follow along in the course.

control-masonry

Security Documentation Builder

courses

fast.ai Courses

dat210x

Programming with Python for Data Science Microsoft

data-science-essentials

Course files for the Microsoft data Science Essentials Course

data-science-python

Data Science analysis and visualization using Python.

datasciencecoursera

Data Scientist’s Toolbox Coursera

datasharing

The Leek group guide to data sharing

deep-learning-with-tensorflow

Deep Learning with TensorFlow by Packt

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.

dsc-scratch

python scratchpad for ideas and samples.

dsc_intro

dstb

Data Science Toolbox

example-code

Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)