Popular GitHub Repositories for Stepper Motor

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

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".

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

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).

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

Motor Imagery EEG signal Classification on DWT

Run multiple independent anomaly detection (object flaws and motor defects) workloads on a single system via multiple virtual machines using a Kernel-based Virtual Machine (KVM) host.

Training Number Plate detector using SSD mobilenet v2, Tensorflow Object Detection and face recognition.

Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors

MyoChallenge evaluation scripts