facebookresearch / emg2qwertyLinks
A surface electromyographic (sEMG) touch typing dataset with baselines. https://arxiv.org/abs/2410.20081.
☆89Updated 3 months ago
Alternatives and similar repositories for emg2qwerty
Users that are interested in emg2qwerty are comparing it to the libraries listed below
Sorting:
- Code for the paper "A high-performance speech neuroprosthesis"☆176Updated 3 months ago
- [ICLR 2023] Code for BrainBERT☆63Updated this week
- Code associated with the paper titled "A high-performance neuroprosthesis for speech decoding and avatar control" , published in Nature i…☆67Updated 2 years ago
- This project contains the code for a deep learning architecture to analyze EEG data.☆52Updated 7 months ago
- Artifact Subspace Reconstruction for Python☆56Updated 2 months ago
- Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"☆180Updated last year
- ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…☆30Updated 4 years ago
- ☆17Updated 2 weeks ago
- Towards large neural data models.☆30Updated 2 months ago
- ☆42Updated 6 months ago
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆71Updated 3 years ago
- This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…☆79Updated 4 months ago
- Pretrained decoders for intracortical BCI.☆22Updated 3 months ago
- Eye movement and blink-related EEG and MEG artifact correction algorithms☆26Updated 5 years ago
- Second-place solution for the Brain-to-Text Benchmark '24☆17Updated 10 months ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆68Updated last week
- EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty☆45Updated 3 years ago
- ☆37Updated last year
- A handbook for EEG data analysis based on Python☆69Updated last year
- A package for decomposing multi-channel EMG signals into individual motor unit activity.☆31Updated 3 years ago
- Use DNNs to build encoding models of EEG visual responses.☆90Updated 6 months ago
- ☆41Updated 3 weeks ago
- Deep learning model for EEG artifact removal☆76Updated 3 years ago
- Hands-on tutorial on deep learning for EEG classification.☆81Updated last year
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆168Updated last month
- Codes to reproduce the Inner speech Dataset publicated by Nieto et al.☆86Updated last year
- Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.☆39Updated last year
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆210Updated 2 years ago
- 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python☆209Updated 2 months ago
- Package for decomposing EMG signals into motor unit firings, as used in Formento et al 2021.☆26Updated 3 years ago