Jeffrey Ede's repositories
Electron-Micrograph-Denoiser
Deep neural network for low-dose electron micrograph denoising
partial-STEM
Partial scanning transmission electron microscopy with deep learning
adaptive-scans
Adaptive partial scanning transmission electron electron microscopy with deep reinforcement learning
Atomic-Force-Microscopy
Programmes controlling aspects of an atomic force microscope
Adaptive-Partial-STEM
Adaptive partial scanning transmission electron electron microscopy with reinforcement learning
Denoising-Kernels-MLPs-Autoencoders
Denoising kernels, multilayer perceptrons and autoencoders for electron microscopy
AI-CV-Automation-Elect-Micr
Applications of deep learning, computer vision and automation to the electron microscopy of nanomaterials
Beanland-Atlas
Automation of Dr Richard Beanland's Ultra-High Resolution Atlas Technique
cif-parsers
PDBx/mmCIF parsers implemented in Python & JavaScript, available under the MIT license.
Example-Tensorflow
Example training with TensorFlow
gradient-checkpointing
Make huge neural nets fit in memory
Lock-In-Amplifier-Characterisation
Programs designed to analyse lock-in amplifier characterisation data.
Machine-Learning
Application of Machine Learning to Electron Microscopy
Miscellaneous
Miscellaneous code
RelativisticGAN
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
simple-webserver
Experimenting with webservers for neural network serving
tensorflow
An Open Source Machine Learning Framework for Everyone
TensorFlow-Xception
TensorFlow implementation of the Xception Model by François Chollet