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3d-game-shaders-for-beginners

🎮 A step-by-step guide on how to implement SSAO, depth of field, lighting, normal mapping, and more for your 3D game.

augmentor

Image augmentation library in Python for machine learning.

augmentor.jl

An image augmentation library for Julia

augmentorfiles

Repository for static files and images for the Augmentor project.

clsm-classification

Keras implementation of a convolutional neural network for the classification of laser scanning microscopy images.

github-markdown-toc

Easy TOC creation for GitHub README.md

hc-fused

A hierarchical clustering and data fusion approach for disease subtype discovery

journal-club

Repository for the Journal Club WS18 seminars

labeller

Quickly set up an image labelling web application for manually tagging images for machine learning tasks.

machine-learning-for-health-informatics

Jupyter notebook assignments for "Machine Learning for Health Informatics" at Vienna Technical University (SS16).

mlds

Accompanying Jupyter notebooks for the Springer LNAI 9605 book chapter.

mlhi-2019

Jupyter assignment notebooks for students of the Machine Learning in Health Informatics (2019) course at Vienna Technical University

mlhi-ws16

Course material for "Machine Learning for Health Informatics", Vienna Technical University (WS16).

mnist-calculator

Code for the paper "Performing Arithmetic Using a Neural Network Trained on Images of Digit Permutation Pairs"

nnunet

passacre

better repeatable password generation

patch-augmentation

Code for the implemenation of the Patch Augmentation technique

pyrea

Multi-view clustering with flexible ensemble structures.

pythoncourse

Materials for the "Python in Machine Learning" PhD course offered at the Medical University Graz

rest-licenses

OSS licenses in reStructuredText format

rt-utils

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

rtimicropem

:mask: R Package for the Analysis of RTI MicroPEM Output Files :mask:

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

systemds

An open source ML system for the end-to-end data science lifecycle