GautamSridhar

Sparse-Autoencoders-for-Denoising

Matlab files for sparse autoencoders used for denoising application- based off CS294a ufldl course offered by stanford online

BASS

Code for the "Behavioral Action Sequence Segmentation" algorithm.

FCN-implementation-on-Pytorch

FCN implementation in Pytorch with and without pretrained weights

Markov_Fish

This repository provides notebooks and scripts to recreate the results from Sridhar, G., Vergassola, M., Marques, J., Orger, M., Costa, A. C., & Wyart, C. (2024). Uncovering multiscale structure in the variability of larval zebrafish navigation. bioRxiv, 2024-05.

Stacked-Autoencoders-for-Denoising

Stacked Autoencoders implementation for the image denoising

Camera-as-a-Range-and-Bearing-for-Localisation

Python codes for V-REP simulations to localisation using quadcopters

campy

Python package for streaming video from multiple cameras to disk. Features real-time compression and debayering using FFmpeg.

darts

Differentiable architecture search for convolutional and recurrent networks

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

GautamSridhar.github.io

Hello-World

First Attempt

KramersMoyal

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order

Neural-Architecture-Search

Implementation of different NAS techniques for simple Neural Networks

predictive_ensemble_dynamics

Code for reproducing the results of the preprint Maximally Predictive Ensemble Dynamics from Data (2021)

stytra

A modular package to control stimulation and track behaviour

U-Net-Implementation-on-PyTorch

ZebraZoom

ZebraZoom can be used on fixed background videos to track the heads and tails of freely swimming and of head-embedded zebrafish as well as the center of mass of any kind of animal. This software can also be used to compare populations based on kinematic parameters and to cluster bouts of movements into behaviors.