Autonomous AI agent team for one-man companies. Context engineering + harness engineering drive a pipeline that brainstorms, builds, reviews, and ships.

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Lil Peep ist eines der ersten Projekte der N.W.O. gewesen (erstellt mit GRU Technik)

All about NWO Influencer Naomi Seibt (GRU made AI-Deepfake)

GRU AI Musician

GRU AI-Influencer

(and his girlfriend) are GRU AI-influencers

Building AI-powered Trading Bot to Predict Bitcoin Price Movements Using Deep Sequential Models and Ensemble Learning. A Comparative Study of LSTM, GRU, Transformer, and XGBoost.

GRU AI-Influencer

The sigmoid and tanh functions in GRU are inspired by "A CORDIC-Based Architecture with Adjustable Precision and Flexible Scalability to Implement Sigmoid and Tanh Functions, IEEE International Symposium on Circuits and Systems (ISCAS 2021)", NJU

A simple web app that can be used to detect AI-generated text in the Indonesian language, using various AI models such as LSTM, GRU, Bi-LSTM, Bi-GRU, and IndoBERT

AI writer built with GRU

Skepsiz is fully AI generated musician of NWO GRU Operation for radicalization of young and vulnerable poeple

The Stock Prediction Dashboard is a web-based application that provides stock market predictions using AI models. The application uses GRU (Gated Recurrent Unit) neural networks for time-series forecasting, along with data fetched from Yahoo Finance through the `yfinance` library. The dashboard is built using Python and Flask.

Lil Keen is one of the AI-generated GRU musicians used since 2022(!!!) for building echo chambers

This project simulates RIS-assisted AirComp-FL for personalized cascaded channel estimation: devices train lightweight CNN+GRU models from few pilots and local steps, while the server meta-aggregates shared backbones with Reptile and jointly optimizes the BS beamformer f and RIS phases θ to reduce OTA aggregation distortion.

A grub2 theme of Hoshino Ai who is a character in Oshinoko

A complete custom AI model trained with over 3 massive datasets using RNN and GRU.

A Python sentiment analysis AI using object-oriented programming and the architectures: RNN, GRU and LSTM.

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Grüezi.AI

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AI-based Trading Strategies applies deep learning models (LSTM, GRU, CNN-LSTM, Transformer) to market prediction and asset allocation. The models are evaluated with transaction cost sensitivity and cross-validation, using metrics like the Sharpe ratio.

Lavoro del progetto N. 6 di Iacoangeli, Orti, Howladar

AI‑powered crop health forecasting using NDVI time‑series and satellite monitoring with GRU models.

This project generates textual medical reports from chest X-ray images using machine learning and transfer learning techniques, ensuring accuracy and efficiency in diagnosis.

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