davindicode/cosyne-2023-generative-models
Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
Jupyter NotebookMIT
Stargazers
- AbebaYz
- ajlahwh
- Alongthoselines
- BaumSebastianUniversity of Stuttgart
- BlazStojanovicKumo AI
- cocoaaaMIT, USC
- colehurwitzUniversity of Edinburgh
- CristianMansillaA
- devanshaminBioXcel Therapeutics
- EYezerets
- fablosDeMaCS, University of Calabria
- histun
- jiapulidoarBogota, Colombia
- jtcostelloUniversity of Michigan
- JulesLebertUniversity College London
- karanotsingyuChina
- kmheckelUniversity of Cambridge
- KrisJensenCambridge, UK
- liuzhenqi77@netneurolab
- mm-ee
- mtnusf97
- NeuTTH
- NogaMudrik@JHUBME
- onurcanbektas
- PraPaudelCornell University
- sophiaasScience Corporation
- tatsuookuboChinese Institute for Brain Research, Beijing
- VictorProkhorov
- virvwCEA, INSERM
- vvvityaaa
- xintangg
- yassiommiToronto, Canada
- yasu-k2
- ZijingWu381
- zomorodi
- ZywderekChinese University of Hong Kong