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  • Czech Academy of Sciences
  • Prague

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  1. Deep-learning-inference-of-the-neutron-star-equation-of-state Deep-learning-inference-of-the-neutron-star-equation-of-state Public

    A deep-neural network pipeline to infer the equation of state of neutron stars from observational data.

    Jupyter Notebook

  2. Deep-classifier-for-chaos-and-order Deep-classifier-for-chaos-and-order Public

    A deep classifier for detection of chaos and order in discreet dynamics. Online publication is here: https://arxiv.org/abs/2402.12359

    Python 1

  3. EMRI_MC EMRI_MC Public

    EMRI_MC is a GPU-based Python code for Bayesian inference of EMRI gravitational waveforms, including cosmological propagation effects. Online publication is here: https://arxiv.org/abs/2311.17174

    Jupyter Notebook 6 3

  4. A-simple-chatbot-based-on-LLM-and-RAG-architecture- A-simple-chatbot-based-on-LLM-and-RAG-architecture- Public

    A simple chatbot which can assist with information assistance, using Retrieval Augmented Generation (RAG) technology combined with a pre-trained Large Language Model (LLM).

    Jupyter Notebook

  5. Generative-adversarial-network-for-complex-systems Generative-adversarial-network-for-complex-systems Public

    Generative Adversarial Network (GAN) able to predict realisations of discreet chaotic dynamics.

    Jupyter Notebook

  6. MG-MAMPOSSt MG-MAMPOSSt Public

    Forked from Pizzuti92/MG-MAMPOSSt

    MG-MAMPOSSt is a Fortran code to perform simulations and statistical analysis of kinematical data of galaxy clusters. It extends the MAMPOSSt algorithm of G. Mamon et al, to include gravity effects…

    Fortran