Pinned Repositories
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's Repositories
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