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Working on AI
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VanekPetr/README.md

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Hey, Robots!

Currently, I'm working as a Machine Learning Engineer @ Go Autonomous in Copenhagen where I deep dive into topics of NLP, Computer Vision and MLOps.

In a free time, I am helping as a teaching assistant at DTU and KU, co-supervising master and bachelor theses within OR, ML and asset allocation as well as applying this knowledge to create an open-source algorithm-based investment advisor.

๐Ÿ”ง Technologies & Tools

๐Ÿš€ GitHub Stats

Petr's GitHub Stats

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  1. flan-t5-text-classifier flan-t5-text-classifier Public

    Fine-tuning of Flan-5T LLM for text classification

    Python 33 7

  2. ResNet-9 ResNet-9 Public

    Lightweight implementation of ResNet for fast image classification

    Python 2 1

  3. yolov5-count-eggs-challenge yolov5-count-eggs-challenge Public

    Forked from ultralytics/yolov5

    YOLOv5 ๐Ÿš€ in PyTorch > ONNX > CoreML > TFLite used as a tool for solution of Go Autonomous Easter eggs challenge

    Python

  4. text-similarity-ranking text-similarity-ranking Public

    Algorithm to rank text similarity between set of strings and given inputs

    Python 1

  5. Optimal_Portfolios_of_ETFs Optimal_Portfolios_of_ETFs Public

    Implemented stochastic CVaR model for the optimal asset allocation together with the Bootstrapping and the Monte Carlo scenario generation methods.

    GAMS 3 1

  6. cpp-uni-cph-course cpp-uni-cph-course Public

    Various C++ problems solved as part of the graduate course at University of Copenhagen.

    C++