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pelperscience's Projects

3d-ftle icon 3d-ftle

3D finite-time Lyapunov exponent (FTLE) field calculation

arctic-connectivity icon arctic-connectivity

Repository for the manuscript “Ocean Surface Connectivity in the Arctic: Capabilities and Caveats of Community Detection in Lagrangian Flow Networks”

dc-unet icon dc-unet

We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.

image_segmentation icon image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

isoneutral-dispersion icon isoneutral-dispersion

Repository holding the data generation and analysis scripts for the manuscript 'Simulating Lagrangian Subgrid-Scale Dispersion on Neutral Surfaces in the Ocean'

keras-unet-collection icon keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

lcs icon lcs

Lagragian_Coherent_Structure

lcs-1 icon lcs-1

Lagrangian Coherent Structure (inherited from Jialun Bao and Jerry Liu's work)

lcs-tools icon lcs-tools

This is a repository of tools to aid in the extraction of Lagrangian Coherent Structures

mftp icon mftp

Maximum Flow based Target Path-cover Algorithm Codes (MFTP)

mitgcm icon mitgcm

M.I.T General Circulation Model master code and documentation repository

mycoastlcs icon mycoastlcs

Python package to calculate backwards and forwards FTLE and LCS

ocean-ftle icon ocean-ftle

FTLE (finite-time Lyapunov exponent) code for oceanographic flows

polyp_segmentation icon polyp_segmentation

Notebook for segmenting polyps in 2D colonoscopy images using a U-Net with modified loss functions.

pytorch-3dunet icon pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

single-agent-mpc-ftle icon single-agent-mpc-ftle

Open-source code used in our paper titled 'Finite-Horizon, Energy-Optimal Trajectories in Unsteady Flows'

tbarrier icon tbarrier

Methods to extract advective, diffusive, stochastic and active transport barriers from 2D and 3D data.

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