mackelab/neural_timeseries_diffusion
This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probabilistic models".
PythonMIT
Stargazers
- alec-hoyland@YurtsAI
- andreiamatuniUniversity of Texas at Austin
- atakaragozWashington University in St. Louis
- bruAristimunhaFederal University of ABC
- changmin-yu
- chris7neves
- ChristianGerloff127.0.0.1
- darrenjwUnited Kingdom
- denisfitz57
- diegogcerdasAmsterdam, The Netherlands
- egealtan@agencyenterprise
- gabeschamberg
- givasile"Athena" Research and Innovation Center
- gzoumpourlisLondon, UK
- hchen19
- joonhyung-leeKorea University
- jsonzillaAltoQi
- juliencarponcy
- karliwalti
- klean2050University of Southern California
- lmp1265
- michaeldeistlerUniversity of Tübingen
- mLapatrie
- mnarayan@neuroquant
- mvaliadisUniversity of Tübingen
- Nian-JingqingGuizhou Normal University
- rdgao@mackelab
- rishistypingParis, FR
- sg-s@deeporiginbio
- shihan-maLondon
- simonfei123San Diego, CA
- strandquistgUniversity of Washington
- SynapticSageBrandeis University
- Tony-commentsInstitute of automation, Chinese academy of science
- twktheainurEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Alès, Alès
- WuShichaoMax Planck Institute for Gravitational Physics