Including some machine learning and artificial intellegent examples
☆95Mar 21, 2025Updated last year
Alternatives and similar repositories for machine-learning-course-projects
Users that are interested in machine-learning-course-projects are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆44Apr 13, 2019Updated 7 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆245May 20, 2024Updated 2 years ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆19Feb 1, 2020Updated 6 years ago
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆1,160Jul 20, 2025Updated 11 months ago
- Code accompanying The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network☆12Jan 4, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The codes that I implemented during my B.Sc. project.☆22Feb 17, 2022Updated 4 years ago
- Implementation of EEG signal classification.☆52Jun 30, 2016Updated 10 years ago
- ☆34Jul 22, 2024Updated last year
- ☆35Mar 16, 2018Updated 8 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆94Mar 4, 2022Updated 4 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆88Feb 22, 2021Updated 5 years ago
- BCI Competition IV dataset 2a☆35Jun 8, 2019Updated 7 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆13Aug 27, 2019Updated 6 years ago
- Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.☆12Mar 25, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race☆15Mar 25, 2023Updated 3 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆105May 30, 2025Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 5 years ago
- CNN classifier to classify MI-EEG signals☆53Dec 2, 2019Updated 6 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Nov 25, 2023Updated 2 years ago
- Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data☆25Dec 13, 2021Updated 4 years ago
- 音频刺激的受众脑电特征（线性，非线性）提取，分类，选择最优特征等☆22Jun 19, 2019Updated 7 years ago
- ☆79Oct 20, 2022Updated 3 years ago
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆176May 30, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implementation of Neonatal Seizure Detection using EEG signals for deploying on edge devices including Raspberry Pi.☆21Oct 18, 2022Updated 3 years ago
- Linear discriminant analysis on EEG Motor Movement/Imagery Dataset: https://www.physionet.org/pn4/eegmmidb/☆16Jan 13, 2019Updated 7 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Jun 7, 2021Updated 5 years ago
- ☆30Nov 7, 2025Updated 7 months ago
- 使用MNE-python过程中的小技巧,即如何处理MEG/EEG信号数据.☆88Nov 19, 2024Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆354Nov 29, 2025Updated 7 months ago
- Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive sub…☆19Jul 11, 2019Updated 6 years ago
- Classification of Fatigue in Consumer-grade EEG Using Entropies as Features☆17Sep 13, 2020Updated 5 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- BCI datasets and algorithms☆78Jun 8, 2022Updated 4 years ago
- The model code for the TS-SEFFNet proposed in the paper "A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Moto…☆20Nov 23, 2021Updated 4 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Jun 23, 2020Updated 6 years ago
- ☆10Jul 14, 2022Updated 3 years ago
- Multichannel Sleep Spindle Detector for sleep EEG☆12May 24, 2020Updated 6 years ago
- Blind Source Separation: Independent Component Analysis for EEG data with python-MNE package and SSVEP☆12Nov 26, 2018Updated 7 years ago
- ☆23Jul 19, 2022Updated 3 years ago