ippocratiss
Theoretical physicist by training, interested in astrophysics, deep learning, data science, high performance computing.
Czech Academy of SciencesPrague
Pinned Repositories
A-simple-chatbot-based-on-LLM-and-RAG-architecture-
A simple chatbot which can assist with information assistance, using Retrieval Augmented Generation (RAG) technology combined with a pre-trained Large Language Model (LLM).
Deep-classifier-for-chaos-and-order
A deep classifier for detection of chaos and order in discreet dynamics. Online publication is here: https://arxiv.org/abs/2402.12359
Deep-learning-inference-of-the-neutron-star-equation-of-state
A deep-neural network pipeline to infer the equation of state of neutron stars from observational data.
EMRI_MC
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
Generative-adversarial-network-for-complex-systems
Generative Adversarial Network (GAN) able to predict realisations of discreet chaotic dynamics.
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 beyond Einstein's theory. Online publications here: https://arxiv.org/abs/2201.07194, https://arxiv.org/abs/2011.15089
Stellar-modelling-and-data-analysis
Reproduction package for the simulations and data analysis of the project "Dark Matter-Induced Stellar Oscillations". Online publication is here: https://arxiv.org/abs/2305.03085
time-series-forecasting-lag-llama
A test of META's lag-llama on stock market forecasting
ippocratiss's Repositories
ippocratiss/EMRI_MC
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
ippocratiss/Deep-classifier-for-chaos-and-order
A deep classifier for detection of chaos and order in discreet dynamics. Online publication is here: https://arxiv.org/abs/2402.12359
ippocratiss/A-simple-chatbot-based-on-LLM-and-RAG-architecture-
A simple chatbot which can assist with information assistance, using Retrieval Augmented Generation (RAG) technology combined with a pre-trained Large Language Model (LLM).
ippocratiss/Deep-learning-inference-of-the-neutron-star-equation-of-state
A deep-neural network pipeline to infer the equation of state of neutron stars from observational data.
ippocratiss/Generative-adversarial-network-for-complex-systems
Generative Adversarial Network (GAN) able to predict realisations of discreet chaotic dynamics.
ippocratiss/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 beyond Einstein's theory. Online publications here: https://arxiv.org/abs/2201.07194, https://arxiv.org/abs/2011.15089
ippocratiss/Stellar-modelling-and-data-analysis
Reproduction package for the simulations and data analysis of the project "Dark Matter-Induced Stellar Oscillations". Online publication is here: https://arxiv.org/abs/2305.03085