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tlatkowski

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Experienced AI Engineer. Working on ML/DL/CV/NLP. PhD in Data Mining.

Funding Links: https://github.com/sponsors/tlatkowski

GitHub Sponsors Profile

I am working on machine/deep learning projects related to different domains: natural language processing, natural language understanding, computer vision, recommender systems, medical databases. I have got an applied knowledge in implementation of various machine learning algorithms: feed-forward neural networks, convolutional neural networks, recurrent neural networks, neural attention mechanism, encoder-decoder architectures and generative adversarial networks. I have got a PhD application in Electronics field. My thesis concerned the analysis of subset of various feature selection algorithms in order to select the most significant attributes with solid distinctive abilities from medical databases.

Featured Works

tlatkowski/inpainting-gmcnn-keras

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

Language: Python - Stars: 94
tlatkowski/deep-learning-gene-expression

Deep learning methods for feature selection in gene expression autism data.

Language: Jupyter Notebook - Stars: 36
tlatkowski/multihead-siamese-nets

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Language: Jupyter Notebook - Stars: 182
tlatkowski/tf-feature-selection

Implementation of various feature selection methods using TensorFlow library.

Language: Python - Stars: 9
tlatkowski/neural-recommender

Neural recommender system implementation in TensorFlow.

Language: Python - Stars: 15
tlatkowski/gans-2.0

Generative Adversarial Networks in TensorFlow 2.0

Language: Python - Stars: 78