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Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Contrastive Prediction of Point Process Observations
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algorithms, both in a sequential and parallel fashion, as well a…
This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
Add a tqdm progress bar to your JAX scans and loops.
NWB GUIDE is a desktop app that provides a no-code user interface for converting neurophysiology data to NWB.
Python tools for analysing body movements across space and time
Repository to run analyses described in paper: "Different methods to estimate the phase of neural rhythms agree, but only during times of low uncertainty "
Converts data from SpikeGadgets to the NWB Data Format
Next-gen fast plotting library running on WGPU using the pygfx rendering engine
Spike Sorting Utilities
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
A high-performance implementation of Wilkinson formulas for Python.
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
catniplab / catniplab.github.io
Forked from barryclark/jekyll-nowCATNIP Laboratory website
Algorithmically create or extend categorical colour palettes
Demonstrating the new automatic package recursion facility in sphinx.ext.autosummary version 3.1
Create NWB files by converting and combining neural data in proprietary formats and adding essential metadata.
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.