A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

Matlab and Python codes for analyzing the EEG dataset for RSVP and P300 speller

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

This collection features a wide array of simple implementations of machine learning algorithms spanning various methodologies and applications.

Dataset of the paper "Underwater Species Detection using Channel Sharpening Attention".

Machine learning implementation of 3 algorithms to solve the epilepsy diagnosis problem , Naive Bayesian , KNN and Neural Network (Fully Implemented from Scratch with Multiple Layers)

The aim of this repo is to contribute to the diagnosis of epilepsy by taking advantage of the engineering. So, for diagnosing of epileptic seizures from EEG signals are transformed discrete wavelet…

Detection of Epilepsy from EEG data (14 channel x 5 minutes)

Reference implementation of "XpookyNet: Advancement in Quantum System Analysis through Convolutional Neural Networks for Detection of Entanglement"

Machine Learning Course, Sharif University of Technology

Dataset of the paper "Underwater Species Detection using Channel Sharpening Attention".

DadmaTools is a Persian NLP tools developed by Dadmatech Co.

MNE Tutorial

Long Short-Term Memory (LSTM)

It features tutorials on using the EEGLAB toolbox and MNE-Python, guiding users through the basics of EEG data handling, pre-processing, and artifact removal.

W3schools website front page template

Recurrent Neural Network (RNN)

Implementing the General Attention Mechanism with NumPy and SciPy

Implementation of Multilayer Perceptron Neural Network with TensorFlow

Grok open release

Official repository of "Efficient Deep Learning-based Estimation of the Vital Signs on Smartphones".

Minimal and clean examples of machine learning algorithms implementations

Here I post simple css projects that I am learning.