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aem_dim_bench

Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"

backup

This repository is for personal back-up for the FYP project.

bdimnna

bensonren.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

bruce_ben_colab

catalyst_project

Catalyst project in Duke University, using drone imagery to map solar panels with high resolution

cemachinelearning

A small step for switching to pytorch, a huge leap for Benkind

christian_data_fit

Fit the christian data into lorentzian parameters

data-structure_python

This is my first repository, I am using it to store my thoughts and learn python

datathon-workshop-py

2018 Duke Datathon Workshop: Exploratory Data Analysis in Python

dlmcn

based on Bohao's dlm repo but has modifications

dna_origami_na

Collab between Ben Ren and Poan Lin

drone_based_solar_pv_detection

ece590algoproject

eye_nerve_segmentation

fluid_flow_na

Collaboration project for Neural Adjoint method in Fluid flow control

gscholarpro

idlm_ben

This project is for the problem of inverse mapping for meta-material design using deep learning

idlm_pytorch

The Pytorch version for the inverse deep learning meta material project

matlab-mooc

This homeworks solution of Matlab MOOC on Coursera introduce by Vanderbilt University

matlab_coursera

mm_bench

Benchmarking various meta-material inverse design problem on various deep inverse solvers

naal

Neural-adjoint based Active Learning

omarproject

phd-exams

PhD Exams folders that contains the information and working folders

pyimannotate

Python image annotation tool

remote_ai

The repository for supplementary document for our publication REMOTE_AI, a review about using remote sensing and machine learning to extract energy data

repro_bass

sam_rs_evaluation

why_na

This repo is to explore why Neural-Adjoint had such a good performance in the benchmark paper