Karol Żak (karolzak)

karolzak

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Company:Microsoft

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microsoft

Karol Żak's repositories

cognitive-service-vision-model-customization-python-samples

This is a sample repository demonstrate how to train and predict a custom model with Cognitive Service for Vision, using Python.

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lama

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

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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.

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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

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semantic-kernel

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

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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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.

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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

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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

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presidio

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

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karolzak

Config files for my GitHub profile.

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media-services-video-indexer

Contains the Azure Media Services Video Indexer samples

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Multimodal-Toolkit

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

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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

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deep-learning-time-series-anomaly-detection

An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'

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keras-one-cycle

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

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keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

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mPyPl

Monadic Pipeline Library for Python

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markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

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tensorflow

Computation using data flow graphs for scalable machine learning

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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.

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azuremlps

Azure ML PowerShell

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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

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xamarin-samples-kz

Xamarin Samples

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xamarin-mvvmcross-and-web-service-sample

This is a sample LOB application for iOS, Android and Windows UWP, written with Xamarin Native approach

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xamarin-import-xcode-views-sample

Simple sample showing and describing the best process to reuse iOS views created in Xcode and import them to Xamarin.iOS project

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