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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