Arminkhayati / Machine_learning_lec
My Machine Learning course projects
☆2Updated 3 years ago
Alternatives and similar repositories for Machine_learning_lec:
Users that are interested in Machine_learning_lec are comparing it to the libraries listed below
- Statistical pattern recognition course projects from shiraz university.☆8Updated 3 years ago
- A Simple code to train a CNN to predict label of Covid and Non-Covid CT scan images and an ACGAN to generate them.☆9Updated 3 years ago
- A Keras Implementation of GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy paper.☆9Updated 3 years ago
- EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network☆13Updated last year
- SolSudo is a deep learning-based sudoku solver that solves sudoku by using images, using an intelligent prediction method to fill in blan…☆9Updated last year
- This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Co…☆31Updated 11 months ago
- Implement Long Short-Term Memory(LSTM) with pytorch to handle raw EEG data☆25Updated 4 years ago
- The aim of this repo is to contribute to the diagnosis of epilepsy by taking advantage of the engineering. So, for diagnosing of epilepti…☆15Updated 2 years ago
- Files required for Python course project☆43Updated 5 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆37Updated last year
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆48Updated 4 years ago
- Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neura…☆133Updated last year
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- EEGNet based on PyTorch☆14Updated 4 years ago
- BCI Competition IV dataset 2a☆26Updated 5 years ago
- Notebooks for Deep Learning course (CE719) TA sessions - Sharif University of Technology☆12Updated 3 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆38Updated 5 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆74Updated 4 years ago
- ☆22Updated 5 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆165Updated 2 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 6 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆64Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆51Updated 3 years ago
- The repo contains open-source code and dataset related to my publication "Classification of Hand-Grasp Movements of Stroke Patients using…☆18Updated 2 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆75Updated 4 years ago
- ☆65Updated 6 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago