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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.

piresnet

plot-edge-pr-curves

The code and data to plot edge PR curves for many existing edge detectors

plot3d_to_gmsh

Fortran program that converts plot3d file format for 2D grids (.p2dfmt) in gmsh (.msh) format.

plumed2

Development version of plumed 2

pmlb

PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

pnp-3d

PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)

pod-pinn

POD-PINN code and manuscript

pod-uqnn

Uncertainty Quantification in the POD-NN framework

point-m2ae

Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

pointer-based-segmentation-find-segment-containing-given-image-point-witin-given-roi-mask-using-cnn

Category independent sequential image segmentation. Find a segment containing a given image pixel within a given attention mask using a convolutional neural network (CNN), and its application for sequential region-by-region instance-aware segmentation of images with unfamiliar categories.

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

poisson_cnn_jupyter

poreflow-net

3D CNN to predict single-phase flow velocity fields

postproc

Post-processing package for CFD simulations I run for my PhD

prabclus

:exclamation: This is a read-only mirror of the CRAN R package repository. prabclus — Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data. Homepage: https://www.unibo.it/sitoweb/christian.hennig/en/

prace-gpu-portability

practical-cnn

A VGG practical on convolutional neural networks

practical_dl

DL course co-developed by YSDA, HSE and Skoltech

predictive-cvs

Predictive collective variable discovery with deep Bayesian models for atomistic systems.

prime

PRIME is a modeling framework designed for the "real-time" characterization and forecasting of partially observed epidemics

proba-v

Enhance low resolution image using Convolutional Neural Nets. My solution to European Space Agency's one of its many contest.

probabilistic_ml_fluids

Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"

project_machine_learning_algorithms