lukaszbinden Goto Github PK
Name: Lukas Zbinden
Type: User
Company: University of Bern
Bio: PhD Researcher in Biomedical Machine Learning, University of Bern, Switzerland
Name: Lukas Zbinden
Type: User
Company: University of Bern
Bio: PhD Researcher in Biomedical Machine Learning, University of Bern, Switzerland
Python scripts for automation of work within 3D Slicer
Artificial Intelligence in Medical Imaging
Accepted in CVPR 2023
PyTorch Tutorial - Workshop at the AMLD 2020
A collection of resources and papers on Diffusion Models
Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
A Lasagne layer (and supporting Theano Ops) for the CRF-as-RNN layer.
Deep Clustering for Unsupervised Learning of Visual Features (use for clustering MS COCO Dataset)
This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
ETHZ, Image Analysis and Computer Vision, 2020, 227-0447-00L
Tutorial on creating your own GAN in Tensorflow
67658 - NLP class fall 2017, Hebrew University of Jerusalem
IB Python API related.
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
Code for the paper "Improved Techniques for Training GANs"
Advanced Topics in Machine Learning, University of Bern, Spring Semester 2018
JMCS Course in Pattern Recognition, Spring Semester 2018, University of Fribourg, Switzerland
Official Code for MM'22 Paper "A Probabilistic Model for Controlling Diversity and Accuracy of Ambiguous Medical Image Segmentation"
Learning Object Representations by Mixing Scenes, MSc thesis, University of Bern, Switzerland
The PyData Zurich meetup
Playground project for machine learning with keras
Machine Learning Institute Certificate in Finance (MLI)
The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)
Javascript to enable scrolling horizontally using the mousewheel, cross-browser and cross-mouse device
MetaTrader MQL to Python bridge
Just a bunch of iPython notebooks for future references.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Learning nnUNet
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.