shalit-lab / deep-scientific-discovery

Related projects: ⓘ

• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆18Updated 4 years ago
• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆23Updated 4 years ago
• sylvchev / beetl-competition
  Code helper for BEETL competition
  ☆11Updated 3 years ago
• danikiyasseh / CLOCS
  [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS
  ☆44Updated last year
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆27Updated 2 years ago
• DL4mHealth / Contrastive-Learning-in-Medical-Time-Series-Survey
  A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series
  ☆22Updated 2 months ago
• tmehari / ssm_ecg
  ☆19Updated last year
• danikiyasseh / CLOPS
  [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS
  ☆16Updated last year
• shawntan / icentia-ecg
  Working on Icentia ECG data.
  ☆33Updated 2 years ago
• neerajwagh / evaluating-eeg-representations
  Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…
  ☆15Updated last year
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆29Updated last year
• sdimi / Step2heart
  🏋️ Extract generalizable physiological representations from sensor time-series data with self-supervision (code for CHIL 2021, NeurIPS-W…
  ☆16Updated last year
• mmcdermott / comprehensive_MTL_EHR
  Source code for a comprehensive analysis of MTL over EHR timeseries data.
  ☆34Updated last year
• zacharycbrown / ssl_baselines_for_biosignal_feature_extraction
  Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.
  ☆52Updated last year
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆37Updated last year
• XiaoxiWei / NeurIPS_BEETL
  This is the NeurIPS BEETL repository (https://beetl.ai)
  ☆35Updated last year
• tsy935 / graphs4mer
  ☆46Updated last year
• mostafaalishahi / eICU_Benchmark
  ☆36Updated 2 years ago
• zdy93 / FTL-Trans
  Time-Aware Transformer-based Network for Clinical Notes Series Prediction
  ☆23Updated 8 months ago
• neerajwagh / eeg-self-supervision
  Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…
  ☆20Updated last year
• XueJiang16 / ssl-torch
  ☆35Updated 3 years ago
• predict-idlab / sleep-linear
  Do not sleep on traditional machine learning for sleep stage scoring
  ☆43Updated 10 months ago
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆35Updated 2 months ago
• Dreem-Organization / dreem-learning-evaluation
  Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"
  ☆27Updated 2 years ago
• EmmaRocheteau / TPC-LoS-prediction
  This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care …
  ☆76Updated last year
• jcreinhold / counterfactualms
  counterfactuals for magnetic resonance images of multiple sclerosis
  ☆26Updated 3 years ago
• ELEMKEP / bsc_lcs
  Implementation of Brain Signal Classification via Learning Connectivity Structure
  ☆15Updated 3 years ago
• TNTLFreiburg / brainfeatures
  A toolbox to decode raw time-domain EEG using features.
  ☆17Updated 5 years ago
• ycq091044 / ContraWR
  JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
  ☆42Updated last year
• yanboxu / RAIM
  Recurrent Attentive and Intensive Modeling of Multimodal Patient Monitoring Data
  ☆17Updated 5 years ago