madeleinesnyder

Language-Learning-Model

BART

fmriprep

fMRIprep is a functional magnetic resonance image pre-processing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.

Inference-Basics

Subbat

CS285 Reinforcement Learning Final Project 2019

SeqBat

Repo for Pt II of ImBat Flight Imaging Experiment

audio_processing_flightroom

DDM

dlcBat

Code for unpacking and analyzing results of DeepLabCut for Fruit Bats and Humans

HumanBat_22

Matlab scripts for analyzing code from humanbat experiment

madeleinesnyder/madeleinesnyder.github.io

madeleinesnyder/audio_processing_flightroom

madeleinesnyder/HumanBat_22

Matlab scripts for analyzing code from humanbat experiment

madeleinesnyder/dlcBat

Code for unpacking and analyzing results of DeepLabCut for Fruit Bats and Humans

madeleinesnyder/SeqBat

Repo for Pt II of ImBat Flight Imaging Experiment

madeleinesnyder/HumanBatExp

madeleinesnyder/Subbat

CS285 Reinforcement Learning Final Project 2019

madeleinesnyder/DDM

madeleinesnyder/BART

madeleinesnyder/testing

madeleinesnyder/fmriprep

fMRIprep is a functional magnetic resonance image pre-processing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.

madeleinesnyder/scsnlscripts

madeleinesnyder/niworkflows

Common workflows for MRI (anatomical, functional, diffusion, etc)

madeleinesnyder/werdmadmath

HCEP

madeleinesnyder/Language-Learning-Model

madeleinesnyder/Inference-Basics

madeleinesnyder/Kalman