Stars
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
A simple python example for the (alpha) version of the API. Requires an API key
A library for scientific machine learning and physics-informed learning
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Sample code for Channel 9 Python for Beginners course
PhaseLink: A deep learning approach to seismic phase association
A Python package for accessing and processing NIED Hi-net seismic data.
Pore pressure prediction using seismic velocity and well log data
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journ…
2D/3D serial and parallel triangular mesh generation tool for finite element methods.
PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method
a program used to generate seismic data based on Ricker Wavelet
Build ML model from seismic attributes and well logs to convert segy to pseudo logs
Generate sample data from .segy seismic data for deep learning based on pytorch
Deep learning seismic waveform inversion using pydsm
2D finite differences numerical modeling of seismic wave scattered by near-surface heterogeneities.
Python package to perform automated shear-wave-splitting analysis on large seismic datasets.
DEPRECATED in favor of our newer libraries (see www.fatiando.org). Python toolkit for modeling and inversion in geophysics.
SPECFEM2D simulates forward and adjoint seismic wave propagation in two-dimensional acoustic, (an)elastic, poroelastic or coupled acoustic-(an)elastic-poroelastic media, with Convolution PML absorb…
Interpolation of seismic data through Deep Priors
A differentiable PDE solving framework for machine learning