ZZKnight

PRML

PRML algorithms implemented in Python

PRMLT

Matlab code of machine learning algorithms in book PRML

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

Physics-Based-Deep-Learning

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

PhiFlow

A differentiable PDE solving framework for machine learning

early-stopping-pytorch

Early stopping for PyTorch

NeuralPDE.jl

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

LSTM-FCN

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

sciann

Deep learning for Engineers - Physics Informed Deep Learning

PDE-Net

PDE-Net: Learning PDEs from Data

DiffEqDocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

PDE-FIND

DeepCFD

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

DICTOL

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

LSTM-FCN

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

space_time_pde

MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution

pinn-pytorch

Deep learning library for solving differential equations on top of PyTorch.

Physics-constrained-Bayesian-deep-learning

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

DeePyMoD_torch

Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]

ROM_code

Numerical tool for Construction of Reduced-order models for fluid flows.

Turbulent-Flow-Nets

Towards Physics-informed Deep Learning for Turbulent Flow Prediction

data-seminars

mmae

Package for Multimodal Autoencoders in TensorFlow / Keras

pde-estimation

Pytorch code for learning an underlying PDE from given data.

gp-sde

Robust-Discovery-of-PDEs

Robust Low-Rank Discovery of Data-Driven Partial Differential Equations

PSI-PDE

A robust method of learning PDEs from dynamical systems.

DPM

Deep Learning PDE Models

2016_Stanford_CS221

A neural network architecture for reduced order modeling of PDEs

PDE_identification