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I have been working in Machine learning and Data science for several years. I have done my Ph.D. in Medical Imaging. I have gained practical experience working for a few IT companies as a consultant, data scientist, or research engineer. I focus on exploring interesting world problems and solving them with state-of-the-art techniques.

Academic track: I have published several journal articles and papers on international conferences such as ISBI, ICIP, ACCV, and MICCAI workshops. I am also a reviewer for these conferences and other IEEE journals. I was the main organizer of the ANHIR challenge.

ORCID ResearchGate

Developer track: I have created several open-source Python packages, and I am a leading contributor to PyTorch-Lightning and other Lightning projects. I also actively participate in other well-known projects like auto-sklearn, yolov5, dipy, etc., with writing code, reporting issues, building CI/CD, and reviewing PRs.

Manager track: I led a small team while developing a video analysis tool. I have been leading & managing the Lightning team responsible for our open-source projects.

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🌐 Get in Touch:

JirkaBorovec in/jirka-borovec jirkaborovec @jborovec jirka

Jirka Borovec's Projects

medicalnet icon 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.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlflow icon mlflow

Open source platform for the machine learning lifecycle

monai icon monai

AI Toolkit for Healthcare Imaging

morph-snakes icon morph-snakes

Morphological snakes for image segmentation and tracking

nbval icon nbval

A py.test plugin to validate Jupyter notebooks

notify-slack-action icon notify-slack-action

🔔 Send a Slack Notification from Github Actions regarding failure, warnings, or even success.

painttransformer icon painttransformer

Homepage of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pip-dep-tree icon pip-dep-tree

A command line utility to display dependency tree of the installed Python packages

py-motmetrics icon py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

py_sample-project icon py_sample-project

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

pybpdl icon pybpdl

Binary Pattern Dictionary Learning for gene activation in microscopy images

pydeprecate icon pydeprecate

Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance.

pygco icon pygco

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

pygithub icon pygithub

Typed interactions with the GitHub API v3

pyimsegm icon pyimsegm

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

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

rising icon rising

Provides everything needed for high performance data loading and augmentation in pytorch.

segment-nuclei icon segment-nuclei

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

sipmask icon sipmask

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

slash-command-dispatch icon slash-command-dispatch

A GitHub action that facilitates "ChatOps" by creating repository dispatch events for slash commands

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