https://github.com/dhschall/binary-neural-networks
Exploring "Binary Neural Networks" (https://arxiv.org/abs/1602.02830) in Theano. A set of experiments that use binarised weights and/or activations to reduce computational load of convolutional neural networks.
miglioreetal14_olfactorybulb3d
3D model of the olfactory bulb (Migliore et al. 2014)
https://github.com/dhslab/dhslab-docker-images
Docker images for the Spencer lab
2023-10-30-unistra
University of Strabourg - Data Carpentries workshop on Image Processing
imta
Data and R code accompanying a literature review on plants as part of integrated multi-trophic aquaculture (IMTA).
https://github.com/dhslab/covfast
Small c program to calculate coverage from a bam/cram over bed intervals
https://github.com/dannyvdsluijs/aoc-2023
Solutions to the Advent of Code 2023 puzzles
https://github.com/dhslab/epibench
EpiBench is a software tool designed for predicting DNA methylation levels using genomic sequence data and histone modification marks. It employs a multi-branch CNN architecture tailored for integrating these data types to achieve high prediction accuracy.
