Popular GitHub Repositories for G610

A3C LSTM Atari with Pytorch plus A3G design

Phoneme multilingual(Russian-English) voice cloning based on

Grapheme to phoneme conversion with deep learning.

Chinese Mandarin Grapheme-to-Phoneme Converter. 中文轉注音或拼音 (INTERSPEECH 2022)

Russian speech technology links

Search for anything using Google, DuckDuckGo, phind.com, Contains AI models, can transcribe yt videos, temporary email and phone number generation, has TTS support, webai (terminal gpt and open interpreter) and offline LLMs

Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning

phoneme tokenizer and grapheme-to-phoneme model for 8k languages

A Python library for Gene–environment interaction analysis via deep learning

? ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model

Education, research and development using the Simultaneous Localization and Mapping (SLAM) method.

Lots of semantic image segmentation implementations in Tensorflow/Keras

Myanmar (Burmese) Language Grapheme to Phoneme (myG2P) Conversion Dictionary for speech recognition (ASR) and speech synthesis (TTS).

This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.

AI Toolkit for Node.js (LLM, Image Generation, Embeddings, Vector Search)

A PyTorch-based toolkit for simulating communication systems

6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset

Connects MCP to major 3D printer APIs (OctoPrint, Klipper, Duet, Repetier, Bambu, Prusa, Creality). Control prints, monitor status, and perform advanced STL operations like scaling, rotation, sectional editing, and base extension. Includes slicing and visualization.

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.