Alternatives and similar repositories for nsd

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

• ariaaay / clip2brain
  Code from paper "Natural language supervision with a large and diverse dataset builds better models of human high-level visual cortex"
  ☆23Updated last year
• cvnlab / nsdcode
  Code related to analyzing the Natural Scenes Dataset
  ☆44Updated 10 months ago
• cvnlab / nsddatapaper
  Code related to the Natural Scenes Dataset data paper
  ☆65Updated last month
• tknapen / nsd_access
  python package to access the data of the NSD (natural scenes dataset) fMRI project
  ☆49Updated 10 months ago
• ColinConwell / DeepNSD
  Code for the deep neural network modeling of a large-scale fMRI dataset.
  ☆29Updated 5 months ago
• ViCCo-Group / THINGS-data
  THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior
  ☆52Updated last year
• courtois-neuromod / algonauts_2025.competitors
  Data and code for the Algonauts Project 2025 challenge.
  ☆56Updated last month
• gifale95 / BERG
  Trained encoding models to generate in silico neural responses for arbitrary stimuli.
  ☆30Updated last month
• ozcelikfu / brain-diffuser
  Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by F…
  ☆135Updated 2 years ago
• blahner / BOLDMomentsDataset
  Starter code for the BOLDMoments fMRI video dataset
  ☆17Updated last year
• gallantlab / voxelwise_tutorials
  Voxelwise Encoding Model tutorials from the Gallant lab.
  ☆84Updated last month
• cvnlab / nsdexamples
  ☆18Updated 5 years ago
• mk2299 / MultimodalEncoding
  ☆14Updated 4 years ago
• styvesg / nsd_gnet8x
  ☆29Updated 2 years ago
• athms / learning-from-brains
  Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …
  ☆104Updated 2 years ago
• cvnlab / GLMsingle
  A toolbox for accurate single-trial estimates in fMRI time-series data
  ☆126Updated last month
• HuthLab / deep-fMRI-dataset
  Code accompanying data release of natural language listening fMRI data (LeBel et al.)
  ☆64Updated last year
• WeizmannVision / SelfSuperReconst
  Self-Supervised RGBD Reconstruction from Brain Activity
  ☆27Updated 3 years ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆34Updated last year
• KamitaniLab / brain-decoding-cookbook-public
  ☆25Updated 8 months ago
• KamitaniLab / GenericObjectDecoding
  Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun h…
  ☆162Updated 11 months ago
• gifale95 / eeg_encoding
  Use DNNs to build encoding models of EEG visual responses.
  ☆91Updated 6 months ago
• styvesg / fwrf
  Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces
  ☆12Updated 7 years ago
• cvai-roig-lab / Net2Brain
  ☆84Updated last month
• rutishauserlab / bmovie-release-NWB-BIDS
  Code for data analysis and visualization for the data descriptor "Multimodal brain responses during movie watching"
  ☆14Updated last year
• ColinConwell / DeepDive
  Feature extraction, dimensionality reduction, model benchmarking.
  ☆34Updated last year
• KamitaniLab / EmotionVideoNeuralRepresentation
  Data and code for reproducing results of Horikawa, Cowen, Keltner, and Kamitani (2020) The neural representation of visually evoked emoti…
  ☆20Updated last year
• LukeTheHecker / esinet
  EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your M…
  ☆46Updated last year
• zjc062 / MindVideo
  ☆12Updated last year
• gallantlab / himalaya
  Multiple-target linear models - CPU/GPU
  ☆97Updated last month