Showing results for: [ Knowledge Representation and Machine Learning ]
Multi-spectral super-resolution dataset.
The extended version includes
- 272 training stereo registered multi-spectral RGB image pairs including the original RGB mosaic images.
- 970 raw multi-spectra... morel images. These need to be downsampled (x2 or x3 etc.) to create low-resolution images for training a CNN for the task of super-resolution.
- 50 test images.less
AIM FSP_TB07_WP05: Optical sensing for marine environments - - Published 08 Oct 2019
Example code for the protein droplet processing algorithms
Legacy data - - Published 01 Mar 2018
Classification pipeline for images produced at the Collaborative Crystallisation Centre
Multi-Stage LSTM (MS-LSTM) is a deep sequence learning architecture that leverage two types of descriptors, i.e., action-aware and context-aware features to determine the action label. To do it at ear... morely stages, MS-LSTM is trained with a novel loss function that encourages correct prediction as early as possible.less
Legacy data - - Published 22 Feb 2018
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation with stochastic gradient variational Bayes inference.
License: Apache 2.0
Legacy data - Data61 Engineering and Design - Published 02 Oct 2017
These models are the product of research undertaken under the 2017 APS Data Fellowship program. This collection included trained MITIE NER models that are ready for use with a standard MITIE library c... morelassifier. A summary Precision, Recall and F1 performance statistics table is included for future reference.less
Legacy data - NER model training - Published 02 Jun 2017