Pinned Repositories
AutoDisk_Demo
AutoDisk is a method to analyze 4D-STEM datasets and estimate lattice parameters. Here, we show a demo to walk the user through each step in this process.
ci-ren
Generative Chinese poetry
Compuer-Vision
The projects in computer vision class(CS 543) in UIUC
cs61b
Leaning Berkeley cs61b sp2019
Hierarchical_Clustering
ie534_rl_hw
deep reinforcement learning on Atari games, homework assignment for IE 534 Fall 2019 at UIUC, taught by Prof. Justin Sirignano
ImageNet-Datasets-Downloader
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
MobileNetGray
This repo is for using MobileNet on Gray scale image
PC-STEM
Package for strain mapping with scanning nanobeam electron diffraction in Matlab
PCA
Chuqiao2333's Repositories
Chuqiao2333/Hierarchical_Clustering
Chuqiao2333/MobileNetGray
This repo is for using MobileNet on Gray scale image
Chuqiao2333/AutoDisk_Demo
AutoDisk is a method to analyze 4D-STEM datasets and estimate lattice parameters. Here, we show a demo to walk the user through each step in this process.
Chuqiao2333/ci-ren
Generative Chinese poetry
Chuqiao2333/Compuer-Vision
The projects in computer vision class(CS 543) in UIUC
Chuqiao2333/cs61b
Leaning Berkeley cs61b sp2019
Chuqiao2333/ie534_rl_hw
deep reinforcement learning on Atari games, homework assignment for IE 534 Fall 2019 at UIUC, taught by Prof. Justin Sirignano
Chuqiao2333/ImageNet-Datasets-Downloader
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
Chuqiao2333/PC-STEM
Package for strain mapping with scanning nanobeam electron diffraction in Matlab
Chuqiao2333/PCA
Chuqiao2333/py4DSTEM
Chuqiao2333/pyxem
pyxem is an open-source python library for multi-dimensional diffraction microscopy.
Chuqiao2333/STEM-Simulation-Images
This repo contains the code which can generate simulated STEM images as training sets in deep learning
Chuqiao2333/test_on_mobile_net
Chuqiao2333/tutorials
Tutorials for creating and using ONNX models