tommycwong Goto Github PK

atomai

Deep and Machine Learning for Microscopy

dummy_dnn

ensemble_tem

mask-rcnn_he_bubbles_comparison

Repository for Comparing U-Net and Mask-RCNN Algorithms for Deep Learning-Based Segmentation of Electron Microscopy Images Containing Helium Bubbles and Voids for Nuclear Reactor Applications.

ml-electronmicroscopy-2023

mse672-introduction-to-tem

MSE672 Course of the MSE Department at UTK in the Spring Semester 2021

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

pytorch-goodies

PyTorch Boilerplate For Research

pytorch_to_tf

shift-vae-atomic

sidpy

Python utilities for storing, processing, and visualizing spectroscopic and imaging data

tem_heliumbubbles