Integrate cutting-edge LLM technology quickly and easily into your apps

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

MLOps using Azure ML Services and Azure DevOps

Python learning to rank tutorial using Azure Cognitive Search

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Best Practices on Recommendation Systems

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

A tutorial demonstrating how to implement deep learning models for time series forecasting

A fast and reliable .NET Rules Engine with extensive Dynamic expression support

The .NET Standard / .NET Core version from the System Linq Dynamic functionality.

Contains samples and utilities relating to the Azure Cosmos DB .NET SDK

Cracking the Coding Interview 6th Ed. Solutions (C# Port)

Backported read-only collection interfaces and extensions/adapters around them