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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.

🔧 Technologies & Tools

🚀 GitHub Stats

Petr's GitHub Stats

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Petr Vanek's Projects

cpp-uni-cph-course icon cpp-uni-cph-course

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

graphdoc icon graphdoc

Multimodal Graph Attention Model for Document Understanding

investment-funnel icon investment-funnel

Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.

makemore icon makemore

An autoregressive character-level language model for making more things

micrograd icon micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

my-own-gpt icon my-own-gpt

A simple PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) language model from scratch.

optimal_portfolios_of_etfs icon optimal_portfolios_of_etfs

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

portfolio-check icon portfolio-check

Small piece of python code to monitor value of a portfolio based on current positions and its values

resnet-9 icon resnet-9

Lightweight implementation of ResNet for fast image classification

tradebot icon tradebot

Automated trading Robot based on various mathematical models and methods.

ultralytics icon ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

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