Wlodek Bzyl's starred repositories
WebsterParser
Convert Webster's Unabridged 1913 dictionary in to a more usable format
Deep-Learning-and-Scientific-Computing-with-R-torch
Deep Learning and Scientific Computing with R torch
llama_cpp.rb
llama_cpp provides Ruby bindings for llama.cpp
classification_models_3D
Set of models for classifcation of 3D volumes
xelatex-mgr
Klasa XeLaTeXa do pracy mgr (adaptacja klasy wzmgr T. Przechlewskiego)
keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
voxelmorph
Unsupervised Learning for Image Registration
beautiful-jekyll
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
optimizingdice
This repository open sources some of the code and trained models belonging to the public datasets used in the corresponding articles.
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
boundary-loss
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
keras-idiomatic-programmer
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
deep-learning
Deep Learning Application Examples
texture-vs-shape
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
dockerfile
Dockerfile best-practices for writing production-worthy Docker images.
cbc_networks
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components [NeurIPS 2019]