Jeffrey-Ede

Adaptive-Partial-STEM

Adaptive partial scanning transmission electron electron microscopy with reinforcement learning

adaptive-scans

Adaptive partial scanning transmission electron electron microscopy with deep reinforcement learning

ALRC

Learning stabilization with adaptive learning rate clipping

Atomic-Force-Microscopy

Programmes controlling aspects of an atomic force microscope

datasets

Visualization of electron microscopy datasets with deep learning

Denoising-Kernels-MLPs-Autoencoders

Denoising kernels, multilayer perceptrons and autoencoders for electron microscopy

DLSS-STEM

Deep learning supersampling for scanning transmission electron microscopy

Electron-Micrograph-Denoiser

Deep neural network for low-dose electron micrograph denoising

One-Shot

TEM phase recovery with deep learning

partial-STEM

Partial scanning transmission electron microscopy with deep learning

Jeffrey-Ede/datasets

Visualization of electron microscopy datasets with deep learning

Jeffrey-Ede/Electron-Micrograph-Denoiser

Deep neural network for low-dose electron micrograph denoising

Jeffrey-Ede/partial-STEM

Partial scanning transmission electron microscopy with deep learning

Jeffrey-Ede/One-Shot

TEM phase recovery with deep learning

Jeffrey-Ede/adaptive-scans

Adaptive partial scanning transmission electron electron microscopy with deep reinforcement learning

Jeffrey-Ede/Atomic-Force-Microscopy

Programmes controlling aspects of an atomic force microscope

Jeffrey-Ede/Adaptive-Partial-STEM

Adaptive partial scanning transmission electron electron microscopy with reinforcement learning

Jeffrey-Ede/ALRC

Learning stabilization with adaptive learning rate clipping

Jeffrey-Ede/Denoising-Kernels-MLPs-Autoencoders

Denoising kernels, multilayer perceptrons and autoencoders for electron microscopy

Jeffrey-Ede/DLSS-STEM

Deep learning supersampling for scanning transmission electron microscopy

Jeffrey-Ede/AI-CV-Automation-Elect-Micr

Applications of deep learning, computer vision and automation to the electron microscopy of nanomaterials

Jeffrey-Ede/Beanland-Atlas

Automation of Dr Richard Beanland's Ultra-High Resolution Atlas Technique

Jeffrey-Ede/cif-parsers

PDBx/mmCIF parsers implemented in Python & JavaScript, available under the MIT license.

Jeffrey-Ede/clTEM

OpenCL accelerated multislice simulation for electron microscopy. Fork of https://github.com/ADyson/clTEM with new front end and improved back end.

Jeffrey-Ede/Electron-Microscopy

Jeffrey-Ede/Example-Tensorflow

Example training with TensorFlow

Jeffrey-Ede/FPGA

Red Pitaya FPGA programming

Jeffrey-Ede/gradient-checkpointing

Make huge neural nets fit in memory

Jeffrey-Ede/Lock-In-Amplifier-Characterisation

Programs designed to analyse lock-in amplifier characterisation data.

Jeffrey-Ede/Machine-Learning

Application of Machine Learning to Electron Microscopy

Jeffrey-Ede/matlab

MATLAB Tools - Various useful functions we've put together for convenience

Jeffrey-Ede/Miscellaneous

Miscellaneous code

Jeffrey-Ede/models

Models and examples built with TensorFlow

Jeffrey-Ede/nfft

Lightweight non-uniform Fast Fourier Transform in Python

Jeffrey-Ede/NN

Jeffrey-Ede/pixel-cnn

Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Jeffrey-Ede/RelativisticGAN

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

Jeffrey-Ede/simple-webserver

Experimenting with webservers for neural network serving

Jeffrey-Ede/tensorflow

An Open Source Machine Learning Framework for Everyone

Jeffrey-Ede/TensorFlow-Xception

TensorFlow implementation of the Xception Model by François Chollet