schaugf

Geoffrey Schau's repositories

HEnorm_python

H&E histopathological staining normalization

Language:PythonNOASSERTION100 5 3

ImageVAE

Variational autoencoder (VAE) for image analysis, built in keras

Language:PythonMIT9 3 3

OHSU_dissertation_template

Easy-to-use pre-configured template for an OHSU dissertation

Language:TeX4 20

CREoLE

Consensus Representation Estimation of Lineage Expression for Single-Cell RNA-seq Analysis

Language:RMIT2 30

NEMO

Neural Estimation of Metastatic Origin (NEMO)

Language:Python2 40

tensorflow-gpu-exacloud

A quick tutorial for getting up and running with TensorFlow on Exacloud GPUs

Language:Python2 30

massSpecShinyViewer

Shiny interface to visualize mass spec data

Language:R1 20

VAEcallback

Keras callback class to visualize training of a variational autoencoder

Language:Python1 30

XAE

Cycle consistent cross-domain autoencoder

Language:Python1 20

DeepPATH

Classification of Lung cancer slide images using deep-learning

Language:Python010

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

Language:PythonApache-2.0010

DiffMap

Diffusion mapping dimensional reduction algorithm

Language:R000

dl-with-bayes

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

Language:Python020

ImageGrid

Generate grid of images given positional coordates

Language:Python020

ManifoldWalk

Walk latent feature manifolds of traned variational autoencoding models

Language:Python020

MUNIT-Tensorflow

Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)

Language:PythonMIT020

omero_downloader

Batch download image files from an OMERO server

Language:Python030

PhysiCell

PhysiCell: Scientist end users should use latest release! Bugfixes should be submitted to the development branch.

Language:C++010

pytorch-vae

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Language:Jupyter Notebook010

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Language:Jupyter NotebookMIT000

tSNEsweep

Sweep through the tSNE perplexity parameter to visualize sensitivity using Slurm

Language:R020

UNIT

Unsupervised Image-to-Image Translation

Language:PythonNOASSERTION020