LukasMosser / neural_rock_typingLinks
Can machines help us understand how to distinguish rock types?
☆22Updated 3 years ago
Alternatives and similar repositories for neural_rock_typing
Users that are interested in neural_rock_typing are comparing it to the libraries listed below
Sorting:
- A walking tour of bruges☆15Updated 7 months ago
- Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…☆75Updated last month
- Pytorch library for seismic data augmentation☆36Updated 2 years ago
- ☆12Updated 4 years ago
- Safety net for machine learning pipelines. Plays nice with sklearn and pandas.☆21Updated last year
- ☆21Updated 7 years ago
- Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed el…☆44Updated 3 years ago
- X lines of Python☆115Updated 4 years ago
- Training, testing, evaluation codes for learning aftershock location patterns☆58Updated 7 years ago
- Self-organizing maps (SOM) and k-means clustering for analyzing geospatial data.☆27Updated 2 years ago
- Python and R notebooks accompanying a talk at the 2018 CSEG / CSPG Geoconvention in Calgary - and a lot MORE!☆29Updated 4 years ago
- Python script and notebook to load XYZ data from a csv file and make plots in 2d and 3d from irregulary spaced data☆25Updated 2 years ago
- Corel is a smart computer vision model that identifies facies and performs rock typing on core images☆12Updated last year
- Introduction to optical remote sensing using Python☆26Updated 2 years ago
- dgbpy is a framework for research and deployment of machine learning models from seismic and well data.☆13Updated 5 months ago
- Geoscience document layout for figures and figure classification inot geoscience categories☆11Updated 3 years ago
- ☆11Updated 6 years ago
- A Panel app to demonstrate distorsions created by non-perceptual colormaps on geophysical data☆11Updated last month
- LLM Assisted Geology Descriptions of Arbitrary Locations = LAGDAL☆14Updated last year
- Predict earthquake rupture probability with bayesian deep learning☆15Updated 6 years ago
- ☆34Updated 4 years ago
- ☆25Updated 3 years ago
- A very brief introduction to machine learning☆41Updated 3 years ago
- Python tutorials for Geology students and professionals.☆10Updated last year
- Materials for Structural geology 2 course☆11Updated 6 years ago
- Python API for geoh5, an open file format for geoscientific data.☆59Updated this week
- Vision transformer finetuning scripts☆25Updated last year
- Pytorch implementations of "Automatic Seismic Interpretation" publications and repositories☆29Updated 6 years ago
- Synthetic datasets for geoscience (geo)statistical modeling☆100Updated last month
- Code for the Transform 2020 Tutorial on Ray!☆12Updated 5 years ago