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Name: Karol Żak
Type: User
Company: Microsoft
Bio: Senior Data & Applied Scientist @microsoft
Name: Karol Żak
Type: User
Company: Microsoft
Bio: Senior Data & Applied Scientist @microsoft
Azure ML PowerShell
BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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.
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
This is a sample repository demonstrate how to train and predict a custom model with Cognitive Service for Vision, using Python.
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
An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'
E-signature and telemetry POC project for Windows 8.1 apps running tablets.
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 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.
Config files for my GitHub profile.
Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
Implementation of Squeeze and Excitation Networks in Keras
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 Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Markdown Cheatsheet for Github Readme.md
Contains the Azure Media Services Video Indexer samples
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.
Monadic Pipeline Library for Python
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
All my MVA and Channel9 samples and demos
Context aware, pluggable and customizable data protection and anonymization SDK for text and images
Integrate cutting-edge LLM technology quickly and easily into your apps
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
A GitHub Pages repo used to document Microsoft solution evidences. TEs: Do not create pull requests here; see https://github.com/Microsoft/techcasestudies#hello.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.