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100-go-mistakes

📖 100 Go Mistakes and How to Avoid Them

abp

Open Source Web Application Framework for ASP.NET Core. Offers an opinionated architecture to build enterprise software solutions with best practices on top of the .NET and the ASP.NET Core platforms. Provides the fundamental infrastructure, production-ready startup templates, application modules, UI themes, tooling, guides and documentation.

accompanyingnotebooks

Accompanying Notebooks for my Blog Posts

ai-powered-call-center-intelligence

AI-Powered-Call-Center-Intelligence powered by Azure AI (including Azure OpenAI GPT-3)

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

angulartypescript

Code samples for the second edition of the Angular book

applied-machine-learning

applied-machine-learning-explainability-techniques

Applied Machine Learning Explainability Techniques, published by Packt

artificial-intelligence-with-power-bi

Artificial Intelligence with Power BI, published by Packt

asp-dot-net-core-in-action-2e

Source code examples for ASP.NET Core in Action, Second Edition

asp-dot-net-core-in-action-3e

Source code examples for ASP.NET Core in Action, Third Edition

automl-in-action-notebooks

Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"

awsinaction3rded

The source code for Amazon Web Services in Action 3rd edition.

azure-mol-samples-2nd-ed

Supporting resources for "Learn Azure in a Month of Lunches - 2nd edition" (Manning Publications)

azure-python-labs

Labs demonstrating how to use Python with Azure, Visual Studio Code, GitHub, Windows Subsystem for Linux, and more!

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.

azureaidevshub

Website to showcase Azure AI and community initiatives.

bayesian-optimization-in-action

Source code for Bayesian Optimization in Action, published by Manning

bert-ml.net

BERT Model for dotnet ML

bert-qna-english

bertonnx

A simple NER implementation using a DistilBERT based model with ML.NET

berttorchsharp

.Net interactive notebook to show how to create a BERT model in TorchSharp; load pre-trained weights; and retrain it for text classification

big-data-mapreduce-course

Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University

bite_sized_data_science

building-large-language-model-applications

Building Large Language Model Applications, Published by Packt

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

building-python-web-apis-with-fastapi

Building Python Web APIs with FastAPI, published by Packt

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

causalml

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

cdqa

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.