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Karol Żak's Projects

boxdetect icon boxdetect

BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms.

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cntk-hotel-pictures-classificator icon cntk-hotel-pictures-classificator

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.

cntk-python-web-service-on-azure icon cntk-python-web-service-on-azure

This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN

conv3d-video-action-recognition icon conv3d-video-action-recognition

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors

images-vector-search icon images-vector-search

Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training

ipyplot icon ipyplot

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

keras-one-cycle icon keras-one-cycle

Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)

keras-unet icon keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

lama icon lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

mobile-app-documentdb-offlinesync-sample icon mobile-app-documentdb-offlinesync-sample

This is a proof of concept project where we tight up a DocumentDB instance with complex (nested) types with several SQLite mobile clients using Azure Mobile Apps with Offline Sync.

mpypl icon mpypl

Monadic Pipeline Library for Python

multimodal-toolkit icon multimodal-toolkit

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

presidio icon presidio

Context aware, pluggable and customizable data protection and anonymization SDK for text and images

semantic-kernel icon semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

support-tickets-classification icon support-tickets-classification

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

techcasestudies icon techcasestudies

A GitHub Pages repo used to document Microsoft solution evidences. TEs: Do not create pull requests here; see https://github.com/Microsoft/techcasestudies#hello.

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