lkampoli Goto Github PK

pde_gp

Machine learning of linear differential equations using Gaussian processes

pdenetgen

Python package for NN generation from physics

pdpinn

pencil-code

A high-order finite-difference code for compressible hydrodynamic flows with magnetic fields and particles

pfunit

Parallel Fortran Unit Testing Framework

pfunit_demos

Pedagogical examples for using pFUnit

pgfplots

pgfplots - A TeX package to draw normal and/or logarithmic plots directly in TeX in two and three dimensions with a user-friendly interface and pgfplotstable - a TeX package to round and format numerical tables. Examples in manuals and/or on web site.

phasta

Parallel Hierarchic Adaptive Stabilized Transient Analysis of compressible and incompressible Navier Stokes equations

phenograph

Subpopulation detection in high-dimensional single-cell data

phiflow

Research-oriented differentiable fluid simulation framework

photonai

PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

physics-constrained-bayesian-deep-learning

Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data

physics_informed_gans_turbulent_flows

Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution (DNS) fields without solving NS equations numerically.

physnet

Code for training PhysNet models

pi4u

Pi4U - High Performance Framework for Bayesian Uncertainty Quantification and Optimization

picanns

Physics Informed Convex Artificial Neural Networks

picie

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

piclas

PICLas is a parallel, three-dimensional PIC-DSMC solver developed cooperatively by the Institute of Space Systems, Institute of Aerodynamics and Gas Dynamics at the University of Stuttgart and the spin-off boltzplatz. PICLas is a flexible particle-based plasma simulation suite.

pidmd

MATLAB codes for physics-informed dynamic mode decomposition (piDMD)

piesrgan

piicrgmms

A data analysis package for PI-ICR Mass Spectroscopy

pinn

Physics-informed neural networks package

pinn-elastodynamics

physics-informed neural network for elastodynamics problem

pinn_cavity

Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pinns-1

Physics-Informed Neural Networks for solving PDEs

pinnsntk

pinnssub

pip-tools

A set of tools to keep your pinned Python dependencies fresh.