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mathugo/README.md

Hi πŸ‘‹, I'm Hugo

AI Specialist | BMW Group

πŸ”¬ Research Interests:

My work spans both event sequence modeling and causal discovery, with a focus on efficient methods to model high-dimensional discrete data of vehicles.

πŸ“ Publications

my scholar

πŸ“« Connect with me:

https://www.linkedin.com/in/hugo-math-b12250175/

Languages and Tools:

angular arduino bash c cplusplus csharp d3js dart django docker dotnet electron firebase flask flutter gcp git graphql hadoop heroku java kubernetes linux matlab mongodb mysql nginx nodejs opencv pandas postgresql python pytorch qt react scikit_learn sqlite tensorflow

mathugo

Β mathugo

mathugo

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  1. flower_federated_learning flower_federated_learning Public

    Federated Learning for classification using Flower :A Friendly Federated Learning Framework and Pytorch

    Jupyter Notebook 3

  2. neuralnetwork-depth-camera neuralnetwork-depth-camera Public

    Object Detection implementation for OAK-D-PoE Camera and NiryoOne robot using Docker

    Jupyter Notebook 1

  3. LPC LPC Public

    Trojan written in C++

    C++ 3

  4. seq2cause seq2cause Public

    seq2cause: Turns any discrete sequence of events into a causal graph using autoregressive models (LLaMA, GPT, RNN, Mamba).

    Python 2

  5. AAAI2025-CarFormer-EPredictor AAAI2025-CarFormer-EPredictor Public

    Python 1

  6. NeuRIPS2025-One-Shot-Causal-AutoRegressive-discovery NeuRIPS2025-One-Shot-Causal-AutoRegressive-discovery Public

    Python 1