openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

MagicScaler high-performance, high-quality image processing pipeline for .NET

This repository has examples of broken patterns in ASP.NET Core applications

YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and videos.

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.

Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.

Modulith is a dotnet new template for Modular Monoliths. It streamlines the creation of new .Net solutions and the addition of modules to existing ones.

ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)

A home for your business logic in any .NET application.

Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages.

Extracts Exif, IPTC, XMP, ICC and other metadata from image, video and audio files

Deep Reinforcement Learning in C#

A light library for C# vector graphics

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

Simple UI tool to build custom machine learning models.

Makes life working with units of measurement just a little bit better.

A set of coding guidelines for C# 9.0, design principles and layout rules for improving the overall quality of your code development.

Pandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.

An open-source RAG-based tool for chatting with your documents.

C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Anthropic's educational courses

Data processing with ML and LLM

Libre Hardware Monitor, home of the fork of Open Hardware Monitor

High-resolution models for human tasks.

Math.NET Numerics

Sisk's request and response processor mainframe source code.

Scraping the justETF

Sample on how to run a LLM using LM Studio and interact with the model using Semantic Kernel.