Hi, I'm Krzysztof, I like everything related to machine learning and neural networks, from research to deployment.

I currently work at Opera Software as AI Engineer, working on Opera Neon project and at Wrocław University of Science and Technology as a part of cyber-physical-systems-group, where I work on research about modelling dynamical systems with neural networks and teaching machine learning courses.

1. pydentification - Python library for system identification with neural networks
2. delay-linea-transformer - Experimental implementation of delay-line transformer for simulation modelling
3. learning-aws -Learning project for classes about AWS
4. learning-image-processing - Learning project for classes about image processing
5. learning-transformers - Learning project for transformer architecture and applications

• kernel-supported-neural-networks - kernel-supported neural networks, which are an attempt to high-probability accuracy premises based on theoretical guarantees of train-supporting using kernel regression (Nadaraya-Watson) estimators.
• orthogonal-neural-networks - code for experiments with orthogonal neural networks, which are feed-forward neural networks with orthogonal transform incorporated into the structure, published as Orthogonal Transforms in Neural Networks Amount to Effective Regularization.
• visual-material-recognition - using images of metal microstructure to estimate its hardness using fractal dimension computed from the image, published as Fractal Dimension as Robust Estimate of Low Carbon Steels Hardness
• hardfacing-neural-modelling - shallow neural networks with robust learning (changing the loss function) to constructing models of hardfacing process using experimental data, published as Modelling of hardfacing layers deposition parameters using robust machine learning algorithms

• MID - python implementation of classic estimators from core statistics
• SPEA - python implementation of Strength Pareto Evolutionary Optimization Algorithm
• tensorflow-notebooks - miscellaneous experiments in TensorFlow with different neural networks
• evolutionary-algorithms - implementation of various evolutionary algorithms for continuous problems
• AWD - implementation of various generative models
• flight_db - learning project with distributed data-base system for managing flight connections
• neural-styler - mobile application using AI-based neural style transfer algorithm to stylize image as famous paintings.