Stars
A package, and script, to perform imaging transcriptomics on a neuroimaging scan.
Takagi and Nishimoto, CVPR 2023
Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by Furkan Ozcelik and Rufin VanRullen.
DeepLab v3+ model in PyTorch. Support different backbones.
A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
Python library for Reservoir Computing using Echo State Networks
An Echo State Network module for PyTorch.
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macro…
Implementation of Axial attention - attending to multi-dimensional data efficiently
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
fMRI-to-image reconstruction on the NSD dataset.
An open source implementation of CLIP.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Machine Learning Utils of Sinzlab
Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces
Code and analysis of the NSD large scale fMRI dataset
A statistics and context decoding toolbox for neuroimaging.
This repository will host scripts used to map structural and functional brain connectivity matrices for the UK biobank dataset.
A Python implementation of Partial Least Squares (PLS) decomposition
Code related to analyzing the Natural Scenes Dataset
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
A development tool for grabbing the dominant color or representative color palette from an image
This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029
A twolevel deformation based morphometry pipeline using ants
NMA Computational Neuroscience course