MJ9702's Stars
CodeWithHarry/JarvisAI-YouTube
Dipeshpal/Jarvis_AI
Jarvis AI is a Python Module which is able to perform task like Chatbot, Assistant etc. It provides base functionality for any assistant application. This JarvisAI is built using Tensorflow, Pytorch, Transformers and other opensource libraries and frameworks.
Dipeshpal/Jarvis-Assisant
Jarvis Assisant is Virtual Assistant to do basic task
Garvit-821/Jarvis
🤖 JARVIS is your AI assistant with a slick GUI. Voice recognition, natural language processing, and task automation. Get organized and simplify tasks. Contribute to our open-source project! #Python #AIAssistant #OpenSource
AlexandreSajus/JARVIS
Your own personal voice assistant: Voice to Text to LLM to Speech, displayed in a web interface
Gladiator07/JARVIS
Personal Voice Assistant made with Python and has a cool looking GUI
Reshiban/60FPS-AR-CHEATS-3DS
List of 60FPS AR cheats for 3DS games
matiffeder/3DS-stuff
iSharingan/CTRPF-AR-CHEAT-CODES
[Database] CTRPF AR CHEAT CODES TO BE USED WITH CTRPF WITH ACTION REPLAY SUPPORT
JourneyOver/CTRPF-AR-CHEAT-CODES
[Database] CTRPF AR CHEAT CODES TO BE USED WITH CTRPF WITH ACTION REPLAY SUPPORT
therrshan/image-captioning
Comparitive analysis of image captioning model using RNN, BiLSTM and Transformer model architectures on the Flickr8K dataset and InceptionV3 for image feature extraction.
deepsemantic/image_captioning
Image Captioning with Deep Bidirectional LSTMs
Necromancer0312/BiLSTM-Image-Classification
dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
xyrusgallito/Depression_detection
Deep Learning Approach on Automatic Classification of Depression using ECG and EDA physiological signals.
lcrosvila/masters-thesis
Wavelet Scattering Transform for monophonic and polyphonic instrument recognition
LucasNolasco/ST-NILM
ST-NILM is a new integrated architecture based on the Scattering Transform. It has a DCN (Deep Convolutional Network) with analytical wavelet-based non-trained weights, shared with fully connected output networks that perform event detection and multi-label classification of aggregate loads.
YananZhao0630/FrScatNet
The code is related my TSP paper ``Deep scattering network with fractional wavelet transform''
mathworks/deep-learning-for-time-series-data
The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on:https://github.com/mathworks/physionet_ECG_data/
mathworks/physionet_ECG_data
This repository contains human electrocardiogram data (ECG) data used in Wavelet Toolbox machine and deep learning examples
MertDuman/Zero-Shot-ECG
A Personalized Zero-Shot ECG Anomaly Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Suspicious Beat Detection for a Practical ECG Surveillance
D-ST-Sword/ATD
Alternative Telescopic Displacement: An Efficient Multimodal Alignment Method
Alton1998/Arrhythmia-Detection
elenamer/ecg_classification_DL
ECG arrhythmia detection
tejasa97/ECG-Signal-Processing
A python script to process raw ECG signals and impute the peaks and heartbeats following noise suppression to obtain processed ECG
antonior92/ecg-preprocessing
caledezma/WTdelineator
Wavelet-based ECG delineator library implemented in python
alwaysbyx/ecg_processing
ecg processing 剔除错误数据 校正基线漂移 分割平均波 定位轴
truongnmt/DeepECG
Using deep learning to detect Atrial fibrillation
marianpetruk/ECG_analysis