jeffrey-ede Goto Github PK
Name: Jeffrey Ede
Type: User
Company: Illumina
Bio: AI Researcher
Location: UK
Name: Jeffrey Ede
Type: User
Company: Illumina
Bio: AI Researcher
Location: UK
Adaptive partial scanning transmission electron electron microscopy with reinforcement learning
Adaptive partial scanning transmission electron electron microscopy with deep reinforcement learning
Applications of deep learning, computer vision and automation to the electron microscopy of nanomaterials
Learning stabilization with adaptive learning rate clipping
Programmes controlling aspects of an atomic force microscope
Automation of Dr Richard Beanland's Ultra-High Resolution Atlas Technique
PDBx/mmCIF parsers implemented in Python & JavaScript, available under the MIT license.
OpenCL accelerated multislice simulation for electron microscopy. Fork of https://github.com/ADyson/clTEM with new front end and improved back end.
Visualization of electron microscopy datasets with deep learning
Denoising kernels, multilayer perceptrons and autoencoders for electron microscopy
Deep learning supersampling for scanning transmission electron microscopy
Deep neural network for low-dose electron micrograph denoising
Example training with TensorFlow
Red Pitaya FPGA programming
Make huge neural nets fit in memory
Programs designed to analyse lock-in amplifier characterisation data.
Application of Machine Learning to Electron Microscopy
MATLAB Tools - Various useful functions we've put together for convenience
Miscellaneous code
Models and examples built with TensorFlow
Lightweight non-uniform Fast Fourier Transform in Python
TEM phase recovery with deep learning
Partial scanning transmission electron microscopy with deep learning
Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
Experimenting with webservers for neural network serving
An Open Source Machine Learning Framework for Everyone
TensorFlow implementation of the Xception Model by François Chollet
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.