Data and code behind the articles and graphics at FiveThirtyEight

Latex code for making neural networks diagrams

python package to access the data of the NSD (natural scenes dataset) fMRI project

Pre-processed brain activity flat maps from the Natural Scenes Dataset

Code from paper "Natural language supervision with a large and diverse dataset builds better models of human high-level visual cortex"

Voxelwise Encoding Model tutorials from the Gallant lab.

Fractional ridge regression

Collection of papers on state-space models

An extremely fast Python package and project manager, written in Rust.

Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning

A simple landing page built with 11ty and Tailwind CSS.

This repository contains code and experimental materials for the publication "Individual variability in neural event segmentation reflects stimulus content and interpretation""

This repository contains segmentation task data on the first episode of BBC series Sherlock Holmes: A Study in Pink (McGuigan, 2010).

Repository for the validation and application of fmrisim. Code used in Ellis, Baldassano, Schapiro, Cai, & Cohen 2019

Port Forwarding Utility (Linderman Lab edition)

The cutest Discord client mod

Code for Multi-marginal Gromov--Wasserstein computations as well as unbalanced and fused versions

Some experiments on the probabilistic control on the inference in Representational Similarity Analyis (RSA)

This is the repository for the research project about the Generalized Procrustes Analysis using spatial anatomical information in fMRI data, i.e., the ProMises (Procrustes von Mises-Fisher) model

Repository for a template blog website built out using Eleventy static site generator and Stylus CSS preprocessor

A collection of scientific posters (with sources) made with Pages or ComicLife

Notes de cours pour PSY3018 - Méthodes en neurosciences cognitives

ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks

Python code for "Probabilistic Machine learning" book by Kevin Murphy

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.