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30-days-of-javascript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.

apache-beam-explained

Source code for the YouTube video, Apache Beam Explained in 12 Minutes

autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

azure-databricks-cookbook

Azure Databricks Cookbook, Published by Packt

azure-open-ai-embeddings-qna

A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.

azure-quickstart-templates

Azure Quickstart Templates

azure-search-openai-demo

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

azure4everyone-samples

azure_demos

best-readme-template

An awesome README template to jumpstart your projects!

chat-langchain

chat2plot

chat to visualization with LLM

chatgpt-tabular-data

cicd_synapse

cluster_productores

common_ml_datasets_explorer_app

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

customchatgpt

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

data-science-portfolio

Data Engineering, SQL, Exploratory Data Analysis (EDA), Machine Learning (Python), Business Intelligence (BI)

data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

datasets-youtube-pandas

dbnd

DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deepschool.io

Deep Learning tutorials in jupyter notebooks.

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

delta

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

digital-resume-template-streamlit

doppel-bot

Train a language model to answer Slack messages as you.