Popular GitHub Repositories for Dotnet

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

Multi-Platform Package Manager for Stable Diffusion

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

An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API

基于.Net8+AntBlazor+SemanticKernel 和KernelMemory 打造的AI知识库/智能体，支持本地离线AI大模型。可以不联网离线运行。支持aspire观测应用数据

A practical architecture styles for migrating from legacy monolith to modern cloud native application with the latest technologies and architectures like Vertical Slice Architecture, Event Sourcing, CQRS, DDD, gRpc, MongoDB, RabbitMq, and Masstransit in .Net 9.

Metadata-indexer and Viewer for AI-generated images

? A practical and imaginary food delivery microservices, built with .Net 8, MassTransit, Domain-Driven Design, CQRS, Vertical Slice Architecture, Event-Driven Architecture, and the latest technologies.

Examples of how to use or integrate DeepSpeech

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.

Whisper.net. Speech to text made simple using Whisper Models

A Non-Official OpenAI RESTful API Client for DotNet

DiffSharp: Differentiable Functional Programming

? Use YOLO11 in real-time for object detection tasks, with edge performance ?? powered by ONNX-Runtime.

C# Yolo Darknet Wrapper (real-time object detection)

C# library for ChatGPT using official OpenAI API

YOLOv5 object detection with C#, ML.NET, ONNX

A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.