Karol Żak's repositories
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
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
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
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
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
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
markdown-cheatsheet
Markdown Cheatsheet for Github Readme.md
xamarin-mvvmcross-and-web-service-sample
This is a sample LOB application for iOS, Android and Windows UWP, written with Xamarin Native approach
deep-learning-time-series-anomaly-detection
An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'
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.
keras-one-cycle
Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
keras-squeeze-excite-network
Implementation of Squeeze and Excitation Networks in Keras
media-services-video-indexer
Contains the Azure Media Services Video Indexer samples
Multimodal-Toolkit
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
tensorflow
Computation using data flow graphs for scalable machine learning
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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
xamarin-samples-kz
Xamarin Samples