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Name: Tommy Löfstedt
Type: User
Bio: Associate Professor doing Machine Learning and Computer Vision in Medical Image Analysis, Department of Computing Science, Umeå University, Umeå, Sweden.
Name: Tommy Löfstedt
Type: User
Bio: Associate Professor doing Machine Learning and Computer Vision in Medical Image Analysis, Department of Computing Science, Umeå University, Umeå, Sweden.
Image augmentation library in Python for machine learning.
Awesome GAN for Medical Imaging
Awesome resources on normalizing flows.
Repository for Gabriella Norman's master thesis project: A segmentation network with a class-agnostic loss function to train on incomplete data
A technical report on convolution arithmetic in the context of deep learning
Course - Convolutional Neural Networks with Applications in Medical Image Analysis
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Latex template for DDay (Department Day) at the Computing Science Department at Umeå University.
Deep Learning Papers on Medical Image Analysis
DOOM Open Source Release
Image augmentation for machine learning experiments.
Interactive Tools: Machine Learning, Deep Learning, Math, and related fields
Matlab and python code (coming soon) for calculating the invariant Haralick features.
Deep Learning for humans
Neural network visualization toolkit for keras
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.
A translation of machine learning terms to Swedish
Nethin contains ready-to-use networks, additional functionality and helper functions for Keras.
The fundamental package for scientific computing with Python.
High Performance Computation for Tensor in .NET, keep APIs same as NumPy and SciPy.
OnPLS: Orthogonal Projections to Latent Structures in Multiblock and Path Model Data Analysis
A web-based collaborative LaTeX editor
Latex code for making neural networks diagrams
Embarrassingly Parallel Array Computing: EPAC is a machine learning workflow builder.
Structured Machine Learning in Python
Generate theoretically sound simulated data.
Statistics and Machine Learning in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.