Alternatives and similar repositories for OpenBioSeq:

Users that are interested in OpenBioSeq are comparing it to the libraries listed below

• yzz673 / Brant
  Pre-trained Transformer on Brain Signals
  ☆22Updated 10 months ago
• kaiwenzha / Rank-N-Contrast
  [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
  ☆103Updated 10 months ago
• ELEMKEP / bsc_lcs
  Implementation of Brain Signal Classification via Learning Connectivity Structure
  ☆17Updated 3 years ago
• DL4mHealth / COMET
  [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series
  ☆64Updated last year
• ycq091044 / BIOT
  NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
  ☆98Updated last year
• konglk1203 / VariationalStiefelOptimizer
  Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…
  ☆16Updated 2 weeks ago
• ycq091044 / ManyDG
  ICLR 2023 paper - ManyDG - Dataset processing and mode codes
  ☆23Updated 9 months ago
• MAILAB-korea / META-EEG
  META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces
  ☆15Updated 6 months ago
• XzwHan / CARD
  Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
  ☆218Updated last year
• JAEarly / MILTimeSeriesClassification
  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
  ☆37Updated 10 months ago
• lanxiang1017 / DynamicBadPairMining_ICLR24
  DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…
  ☆14Updated 10 months ago
• DL4mHealth / Medformer
  [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification
  ☆70Updated this week
• tsy935 / graphs4mer
  ☆55Updated last year
• ycq091044 / ContraWR
  JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
  ☆45Updated last year
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆42Updated last year
• XueJiang16 / ssl-torch
  ☆37Updated 3 years ago
• CLIP-MUSED / CLIP-MUSED
  ☆26Updated last year
• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆24Updated 4 years ago
• gongzix / NeuroClips
  Official code base for NeuroClips
  ☆73Updated last month
• XJTU-XGU / ARPM
  Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
  ☆13Updated 7 months ago
• GitWR / SymNet
  This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…
  ☆16Updated 4 years ago
• willxxy / awesome-mmps
  Corpus of resources for multimodal machine learning with physiological signals (mmps).
  ☆46Updated this week
• zhao-ht / DeepGraph
  This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.
  ☆20Updated last year
• Navidfoumani / EEG2Rep
  ☆48Updated 2 months ago
• wjq-learning / CBraMod
  CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
  ☆31Updated last month
• aluo-x / BrainDiVE
  Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
  ☆19Updated 9 months ago
• bruAristimunha / Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models
  Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.
  ☆41Updated 11 months ago
• ganmodokix / gwae
  PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)
  ☆43Updated last year
• xuesongwang / Contrastive-Functional-Connectivity-Graph-Learning
  ☆17Updated 2 years ago
• CECNL / MAtt
  ☆56Updated last year