Popular GitHub Repositories for Qam Modulation

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020

(ECCV 2020) Conditional Sequential Modulation for Efficient Global Image Retouching

See original repo here: https://github.com/google/RB-Modulation - ICLR 2025 (Oral)

Code for SCAM! Transferring humans between images with Semantic Cross Attention Modulation. Also contains implementation for SPADE, CLADE, SEAN and INADE

Focal-Unet: Unet-like Focal Modulation for Medical Image Segmentation https://arxiv.org/abs/2212.09263

Official implementation & data for paper "Strong and Precise Modulation of Human Percepts via Robustified ANNs" (NeurIPS 2023)

WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models (CVPR 2024)

Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation (IEEE Communications Letters)

A DSP Toolkit for PyTorch

Optical Communications: 64-QAM classification with neural networks.

Modulation Classification using CNN, RNN, LSTM classifiers.

This project was for the pattern recognition course I studied in college. This project's aim was to classify the type of each modulation technique used using CNN, RNN, LSTM and CONV-LSTM.

Ever wondered why AI answers change? STRATA uncovers the secret architecture of trust inside LLMs.

Real-Time Voice Changer Tool allows creators to modify their voice in real-time during live streams, podcasts, or content creation, enhancing the entertainment experience. ??

This project demonstrates a simple pipeline for generating various modulation signals like QPSK, 64QAM, PAM4 etc, training a lightweight neural network to classify them, converting the model to TensorFlow Lite format for edge deployment, and running inference using the TFLite interpreter.

This model defines a hierarchical framework where emotional signals are processed in multiple stages to influence cognitive behavior. It enables adaptive reasoning by integrating affective feedback into decision-making and memory modulation. 本モデルは、感情信号を多段階で処理し、認知行動に影響を与える階層的枠組みを定義します。感情的フィードバックを意思決定や記憶調整に統合することで、適応的な推論を可能にします。