Popular GitHub Repositories for Evasive Samples

Best Practices, code samples, and documentation for Computer Vision.

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

使用代理开发工具包 (ADK) 构建的一组示例代理

API libraries, samples, and system images for AIY Projects (Voice Kit and Vision Kit)

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

SincNet is a neural architecture for efficiently processing raw audio samples.

We introduce the Audio Logical Reasoning (ALR) dataset, consisting of 6,446 text-audio annotated samples specifically designed for complex reasoning tasks. Building on this resource, we propose SoundMind, a rule-based reinforcement learning (RL) algorithm tailored to endow audio language models (ALMs) with deep bimodal reasoning abilities.

TensorFlow Lite Samples on Unity

A repository of code samples for Vector search capabilities in Azure AI Search.

Join a time-traveling adventure where you meet history’s legends while learning Generative AI technologies! ?

This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

Azure OpenAI Samples is a collection of code samples illustrating how to use Azure Open AI in creating AI solution for various use cases across industries. This repository is mained by a community of volunters. We welcomed your contributions.

Mimic Recording Studio is a Docker-based application you can install to record voice samples, which can then be trained into a TTS voice with Mimic2

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

This repository has implementation for "Neural Voice Cloning With Few Samples"

Code Examples used by the Quickstarts in the Cognitive Services Documentation