Jirka Borovec

pyImSegm. Image segmentation - general superpixel segmentation & center detection & region growing

BIRL. BIRL: Benchmark on Image Registration methods with Landmark validations

docker_python-opencv-ffmpeg. Dockerfile containing FFmpeg, OpenCV4 and Python2/3, based on Ubuntu LTS

pyGCO. A python wrapper for gco-v3.0 package, used for graph cuts based MRF optimization.

pyDeprecate. Smoothly deprecate and redirect Python functions/classes with smart warnings and auto-routing—keep your codebase clean while maintaining backward compatibility

kaggle_image-classify. Various Kaggle image classification challenges solutions

kaggle_vol-3D-classify. Predict the status of a genetic biomarker important for brain cancer treatment

dataset-histology-landmarks. Dataset: landmarks for registration of histology images

keras-yolo3. A Keras implementation of YOLOv3 (Tensorflow backend) a successor of qqwweee/keras-yolo3

kaggle_SandBox. hatching Kaggle attempts :]

morph-snakes. Morphological snakes for image segmentation and tracking

pyRepoStats. Simple repository contribution statistics

kaggle_image-segm. Simple tooling for instance segmentation aiming at cell biology...

pyBPDL. Binary Pattern Dictionary Learning for gene activation in microscopy images

segment-nuclei. Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

BCI-speller. Interactive keyboard for EEG, using Brain-Control interface

py_sample-project. A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

GitHub-app-bot. Lightweight GitHub App powered by the Lightning platform, designed to run automated pull request checks based on repository-specific rules and webhook events.

kaggle_COVID-detection. Identify and localize COVID-19 abnormalities on chest radiographs.

Borda. Personal

imbalanced-dataset-sampler. A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

yolov5. YOLOv5 in PyTorch

MedicalNet. Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

ij-CMP-BIA. Extension for ImageJ (Fiji) by BIA segmentation methods as plugins and some other useful API for image segmentation.

Auto_TS. Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

infini-transformer. PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" (https://arxiv.org/abs/2404.07143)

cudf. cuDF - GPU DataFrame Library

pipreqs. pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

HistoSSL_scaling. Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023).

cmd-tree. A command line tool for generating text-based representations of file hierarchies