Judithcodes

amc-toolbox

MATLAB toolbox for automatic modulation classifier development

AugmentedAutoencoder

Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

Autoencoder_communication_system_WGAN_Channel-estimation

Master Thesis compairing Communicationsystems Baised on GAN and baised on MI

Autoencoder_communication_sytem_with_GAN_channel-estimation

Communication System with GAN based Channel estimation

autoencoder_for_physical_layer

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

DeepHybridBeamforming

% These MATLAB scripts are prepared by A.M.E for the following paper, % A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO Systems," IEEE Communications Letters, vol. 23, no. 7, pp. 1240-1243, July 2019 % please cite the above work if you use this codes, % For any comments and questions please email: ahmetmelbir@gmail.com %

Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

Text-Emotion-Recognition

A repository for recognizing emotion in tweets

UAV-in-Cognitive-Radio-Network

Judithcodes/Intelligent-Video-Analytics-with-NVIDIA-Jetson-and-Microsoft-Azure

A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure

Judithcodes/Radio-Modulation-Recognition-Networks

Radio modulation recognition with CNN and CLDNN networks

Judithcodes/RF_modulation_classification

A project on RF modulation classification using different neural architectures and RF signal representations.

Judithcodes/Text-Emotion-Recognition

A repository for recognizing emotion in tweets

Judithcodes/AUGMENTATION_GAN

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in COVID-19 Classification

Judithcodes/Bandit-Algorithms

Judithcodes/Combined-CNN-RNN-for-emotion-recognition

Predict valence and arousal from video data. Separate training of CNN and RNN. Feed RNN with simple feature vectors extracted from frames. Feature extraction is done by a simple CNN model.

Judithcodes/Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

Judithcodes/covid19

covid19

Judithcodes/Data

AI-based User Adaptive Interaction Laboratory

Judithcodes/DL-based-Emotion-recognition-from-EEG

For more accurate data understanding I have applied single as well as multi-layer neural network for this task

Judithcodes/emotion-label-semantics

This repository provides the code and dataset for the work published in the paper - Modeling Label Semantics for Predicting Emotional Reactions

Judithcodes/Face_Recognition

<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model

Judithcodes/handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Judithcodes/HSE_AffectiveComputing

Affective computing course, Higher School of Economics (HSE), lecturer Olga Perepelkina, 2020

Judithcodes/Intelligent-model-of-Communication-system-simulation-based-on-auto-encoding-deep-learning-

Used a Generative Adversarial Network(GAN) to simulate a optical communication system; Applying auto-encoding deep-learning method to build an Intelligent model of Communication system in order to improve its information rate and symbol coding method; laying a good foundation for the development of intelligent fiber communication systems;

Judithcodes/iot-lora-demo

Judithcodes/ModulationPy

Linear digital modems

Judithcodes/multimodal

Multimodal Analysis for Emotion Recognition

Judithcodes/Multimodal-Emotion-Recognition

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

Judithcodes/MULTIMODAL-EMOTION-RECOGNITION-1

Human Emotion Understanding using multimodal dataset.

Judithcodes/Multimodal-Video-Emotion-Recognition-Pytorch

A Pytorch implementation of emotion recognition from videos

Judithcodes/pretrained-gan-70s-scifi

Pretrained model 1024x1024 trained on 1970s scifi art

Judithcodes/pretrained-gan-fish

Pretrained model for fish, 256x256

Judithcodes/pretrained-gan-minecraft

Minecraft GAN

Judithcodes/pretrained-merry-gan-mas

Judithcodes/SceneR2

Vehicle action and scene recognition using fusion of radar and monochrome camera

Judithcodes/stylegan

StyleGAN - Official TensorFlow Implementation

Judithcodes/text-emotion-classification-1

Archived - not answering issues

Judithcodes/tinyml-example-anomaly-detection

TinyML example showing how to do anomaly detection with Python and Arduino