Popular GitHub Repositories for Sensory Motor Rhythm

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification

Global Rhythm Style Transfer Without Text Transcriptions

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

Unsupervised Rhythm Modeling for Voice Conversion

ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

[ICCV 2025] Official code for "Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation"

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

Open Source Generative AI Models for Automatic Rhythm Game Beatmap Generation (for acoustic people)

Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals

? A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees

Sorting objects of different colors using robotic arm and using computer vision (image processing).

An automatically updated feed with summaries of the best Habr.com articles generated by the YandexGPT neural network.

This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

Towards Domain Free Transformer for Generalized EEG Pre-training