tomlof
Associate Professor doing Machine Learning and Computer Vision in Medical Image Analysis, Department of Computing Science, Umeå University, Umeå, Sweden.
Pinned Repositories
Augmentor
Image augmentation library in Python for machine learning.
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
awesome-normalizing-flows
Awesome resources on normalizing flows.
Class-agnostic-loss-function
Repository for Gabriella Norman's master thesis project: A segmentation network with a class-agnostic loss function to train on incomplete data
Course_CNNs_MIA
Course - Convolutional Neural Networks with Applications in Medical Image Analysis
invariant-haralick-features
Matlab and python code (coming soon) for calculating the invariant Haralick features.
maskininlarning
A translation of machine learning terms to Swedish
Nethin
Nethin contains ready-to-use networks, additional functionality and helper functions for Keras.
OnPLS
OnPLS: Orthogonal Projections to Latent Structures in Multiblock and Path Model Data Analysis
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
tomlof's Repositories
tomlof/OnPLS
OnPLS: Orthogonal Projections to Latent Structures in Multiblock and Path Model Data Analysis
tomlof/invariant-haralick-features
Matlab and python code (coming soon) for calculating the invariant Haralick features.
tomlof/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
tomlof/Course_CNNs_MIA
Course - Convolutional Neural Networks with Applications in Medical Image Analysis
tomlof/maskininlarning
A translation of machine learning terms to Swedish
tomlof/Nethin
Nethin contains ready-to-use networks, additional functionality and helper functions for Keras.
tomlof/Augmentor
Image augmentation library in Python for machine learning.
tomlof/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
tomlof/awesome-normalizing-flows
Awesome resources on normalizing flows.
tomlof/Class-agnostic-loss-function
Repository for Gabriella Norman's master thesis project: A segmentation network with a class-agnostic loss function to train on incomplete data
tomlof/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
tomlof/CyberBattleSim
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
tomlof/dday
Latex template for DDay (Department Day) at the Computing Science Department at Umeå University.
tomlof/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
tomlof/DOOM
DOOM Open Source Release
tomlof/imgaug
Image augmentation for machine learning experiments.
tomlof/Interactive_Tools
Interactive Tools: Machine Learning, Deep Learning, Math, and related fields
tomlof/keras
Deep Learning for humans
tomlof/keras-vis
Neural network visualization toolkit for keras
tomlof/LatentAugment
tomlof/lecun1989-repro
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
tomlof/numpy
The fundamental package for scientific computing with Python.
tomlof/NumSharp
High Performance Computation for Tensor in .NET, keep APIs same as NumPy and SciPy.
tomlof/overleaf
A web-based collaborative LaTeX editor
tomlof/PlotNeuralNet
Latex code for making neural networks diagrams
tomlof/pylearn-parsimony
Structured Machine Learning in Python
tomlof/pylearn-simulate
Generate theoretically sound simulated data.
tomlof/scikit-image
Image processing in Python
tomlof/stable-diffusion
A latent text-to-image diffusion model
tomlof/useful