pankajkgupta

IQA-PyTorch

👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...

lightning-pose

Accelerated pose estimation and tracking using semi-supervised convolutional networks.

aind-uw-cnc-workshop

ReMind

LLMs for Brain Health Hackathon

funimag

Compression, denoising and demixing of functional imaging recordings

deepinterpolation_nextflow

PIXIE

locaNMF

Pytorch implementation of LocaNMF

locaNMF-preprocess

Preprocessing (denoising and atlas registration) functions for LocaNMF

sequitur

Library of autoencoders for sequential data

PrecisionHealthVirtualEnvironment

This is a virtual environment which contains databases, software, workflows, and workshops for Precision Health Data Analysis.

bmtk

Brain Modeling Toolkit

expose

ExPose - EXpressive POse and Shape rEgression

bashiri-et-al-2021

Code for models used in Bashiri et al., "A Flow-based latent state generative model of neural population responses to natural images".

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

MABe_2022_TVAE

Trajectory Variational Autoencoder baseline for Multi-Agent Behavior challenge 2022

TREBA

Learning trajectory representations using self-supervision and programmatic supervision.

VAME

Variational Animal Motion Embedding - A tool for time series embedding and clustering

nwb-conversion-tools

Create NWB files by converting and combining neural data in proprietary formats and adding essential metadata.

spike-sorting-hackathon

Tex-An_Mesh

Fully textured and animatable human body mesh reconstruction from a single image

obci

Code for real-time, low-latency processing of 2P calcium imaging data streaming from PrairieView

amLDS

'Aligned mixture of latent dynamical systems' (amLDS) for stimulus decoding probabilistic manifold alignment across animals. P. Herrero-Vidal et al. NeurIPS 2021 code.

PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

cosyne-tutorial-2022

Cosyne workshop tutorial 2022

MINI2P_toolbox

The codes, software, models, protocols, and etc. for building and using MINI2P to do the freely-moving recording and analysis. More details can be found in the original paper "Large-scale two-photon calcium imaging in freely moving mice(2021)".

lab-website-template

An easy-to-use, flexible website template for labs.

CNMF_E

Constrained Nonnegative Matrix Factorization for microEndoscopic data

stats320

STATS320: Statistical Methods for Neural Data Analysis