Pinned Repositories
AI-Descartes
Open source package for accelerated symbolic discovery of fundamental laws.
AI-Hilbert
AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundamental laws of nature (or non-physical systems) based on knowledge (articulated in formal logic terms) and experimental data.
AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
alphafold3
AlphaFold 3 inference pipeline.
Anisotropic-Resistivity-Inversion
PINN-based inversion algorithm for parallel- and perpendicular-to-bedding plane resistivity
AutoPetrophysics-GOM-CCS
Automatic well-log baseline correction and core2log rock classification for potential CO2 storage site characterization in the Gulf of Mexico.
Awesome_Math_Books
GeostatsPy
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
ingehap.github.io
ipynb-examples
ingehap's Repositories
ingehap/AI-Descartes
Open source package for accelerated symbolic discovery of fundamental laws.
ingehap/AI-Hilbert
AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundamental laws of nature (or non-physical systems) based on knowledge (articulated in formal logic terms) and experimental data.
ingehap/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
ingehap/alphafold3
AlphaFold 3 inference pipeline.
ingehap/Anisotropic-Resistivity-Inversion
PINN-based inversion algorithm for parallel- and perpendicular-to-bedding plane resistivity
ingehap/AutoPetrophysics-GOM-CCS
Automatic well-log baseline correction and core2log rock classification for potential CO2 storage site characterization in the Gulf of Mexico.
ingehap/Awesome_Math_Books
ingehap/GeostatsPy
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
ingehap/ingehap.github.io
ingehap/ipynb-examples
ingehap/Machine-Learning-Competition-2024
Machine-Learning-Competition-2024
ingehap/MLTrainingImages
Machine learning training images.
ingehap/rethinking
Statistical Rethinking course and book package
ingehap/snakemake-tutorial-data
Example data for the official Snakemake tutorial
ingehap/template-jupyter-notebook
ingehap/The-Book-of-Trading-Strategies
Source Codes for the Book of Trading Strategies
ingehap/python-resources-for-earth-sciences
A Curated List of Python Resources for Earth Sciences
ingehap/python_earth_science_book
ingehap/showyourwork
A workflow for reproducible and open scientific articles