Lists (16)
Stars
Code for "Measuring complex refractive index through deeplearning-enabled optical reflectometry"
Python library to analyze Distributed Acoustic Sensing (DAS) data for marine bioacoustics
Python framework for data evaluation and crack width monitoring with distributed fibre optic sensors
Prediction and control of fracture paths in disordered architected materials using graph neural networks
Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials
SchNet - a deep learning architecture for quantum chemistry
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
SchNetPack - Deep Neural Networks for Atomistic Systems
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules…
Learning in infinite dimension with neural operators.
MultiSpec is a freeware image data analysis application developed for interactively analyzing Earth observational multispectral and hyperspectral image data.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Public development project of the LAMMPS MD software package
A curated list of resources for using LLMs to develop more competitive grant applications.
A cheatsheet for those who plot with MATLAB
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
xpm (Extensive Pore Modelling) is a software for predicting flow properties in multi-scale porous media
Interface between Salome CAD software and the subsurface reactive transport simulator PFLOTRAN
Classical network (extraction and) flow simulation
Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality
Field scale model generation and upscaling toolkit
A resource for learning about Machine learning & Deep Learning
Anura3D open source version to model large deformation and soil-water-structure interaction with the MPM.
SPECFEM3D Cartesian simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, or poroelastic seismic wave propagation in any type of conforming mesh of hexahedra (structured & unstruct…
PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method