marcodigennaro
CTO @DT-Service-Consulting Founder @atomistic-modelling; Machine Learning scientist @toyota; Postdoc @UnivBasel; Ph.D. @ULiege; MS. Physics
DT Service & ConsultingBruxelles
Pinned Repositories
2023-itertools
ase
Atomic Simulation Environment - mirror of https://gitlab.com/ase/ase
bayesian-optimization
Python code for bayesian optimization using Gaussian processes
bin_ws
blockchain
cheatsheets
CLF-C02
Notes for the CLF-C02 exam
codes_tutorials
common_stuff
Klanik_tutorials
Short Introduction to Machine Learning
marcodigennaro's Repositories
marcodigennaro/Klanik_tutorials
Short Introduction to Machine Learning
marcodigennaro/2023-itertools
marcodigennaro/ase
Atomic Simulation Environment - mirror of https://gitlab.com/ase/ase
marcodigennaro/bin_ws
marcodigennaro/blockchain
marcodigennaro/cheatsheets
marcodigennaro/CLF-C02
Notes for the CLF-C02 exam
marcodigennaro/codes_tutorials
marcodigennaro/common_stuff
marcodigennaro/CV
marcodigennaro/emmet
Be a master builder of databases of material properties. Avoid the Kragle.
marcodigennaro/finance
A set of data science tools for finance analysis
marcodigennaro/GPU_speedup
marcodigennaro/jobflow
jobflow is a library for writing computational workflows.
marcodigennaro/klanik_VT
marcodigennaro/LLM
A package demonstrating LLM implementation and practical deployment
marcodigennaro/marcodigennaro
Config files for my GitHub profile.
marcodigennaro/molecular_orbital_learning
marcodigennaro/molecules_coordinates
marcodigennaro/mygitactions
marcodigennaro/OCR
marcodigennaro/optimization
A set of tutorials demonstrating different optimization problems and computational techniques to solve them.
marcodigennaro/p-value
marcodigennaro/pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
marcodigennaro/python_speedup
marcodigennaro/QMAT1
marcodigennaro/turbomoleio
Turbomoleio is a python package containing a set of tools for the generation of inputs and parsing of outputs for the TURBOMOLE quantum chemistry package.
marcodigennaro/unit_tests
marcodigennaro/windml
A Machine Learning tutorial on wind turbines data
marcodigennaro/world-population