Popular GitHub Repositories for Brand Reputation

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ??

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

? Lobe Icons - Popular AI / LLM Model Brand SVG Logo and Icon Collection.

全新的高颜值/高性能的AI模型接口管理与分发系统，仅供个人学习使用，请勿用于任何商业用途，本项目基于NewAPI开发。A brand new high aesthetic/high-performance AI model interface management and distribution system is only for personal or internal management and distribution channels of enterprises. Please do not use it for commercial purposes.

A brand logo detection system using tensorflow object detection API.

A curated list of Deep Learning resources sorted by reputation

A brand logo detection system by DETR

Generate Google Search Ads that match your brand style.

Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning".

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Узнай, хорошо или плохо говорят о тебе или твоей фирме в Интернете! Наша "Сорока" с искусственным интеллектом принесёт тебе это на своём хвосте.

Create high-quality images effortlessly for your brand using Fooocus, an advanced image generation software.

Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from data/model poisoning and reverse engineering attacks.

This repo contains the source code of SentimentAnalyzer. It's an on-device (offline) open-source library to find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiment. Powered by ML.NET

This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.

MobileNetV2-UNet semantic segmentation for Starbucks logo detection - 50ms inference with PyTorch Lightning, binary mask output for mobile deployment

AiCMO is an open source AI search optimization platform. It helps companies to monitor and optimize their brand visibility in AI tools like ChatGPT, and Gemini. AiCMO can be self-hosted in minutes and is battle-tested.

Smart App to flag fake news articles and rank websites reputation and ranking

Federated Learning (FL) is a collaborative machine learning approach that enables decentralized data processing. Instead of collecting and storing data in a central server, FL trains machine learning models directly on devices or servers where the data resides, enhancing privacy and security.