teeratornk Goto Github PK

ai-for-trading

Udacity nanodegree: AI for Trading

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

bullcowgame_c-

datasciencecoursera

This repo is expected to use for Data Science track of Coursera.

datasharing

The Leek group guide to data sharing

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepxde

Deep learning library for solving differential equations and more

dem_hyperelasticity

A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on the idea of minimum potential energy. The method is named "Deep Energy Method".

denoising-autoencoder-in-pytorch

A Pytorch Implementation of a denoising autoencoder.

dslectures

Course materials for introductory data science

fem-with-python

Materials for introductory Finite Element course

fenicstools

first_repo

This is my first repository.

generalized_poroelastic_model_fenics

The model code for the poroelastic model assocaited with the article title "A generalized poroelastic model using FEniCS with insights into the Noordbergum effect" by Haagenson et al. published in Computers & Geosciences.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

geneticalgorithmpython

Genetic Algorithm Implementation in Python using NumPy

hp-vpinns

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

hybrid-fem-nn

i3-starterpack

A simple guide (and example of configuration) to install i3 & its and essentials packages, then make them look eye candy.

icferst

inverse_identification_soft_tissue

ip_ml_2019

jcp_yjcph_110030_git

supplementary_scripts_for_JCP_manuscript

natural_convection_scripts

Supporting scripts for natural convection paper

neurodiffeq

A light-weight & flexible library for solving differential equations using neural networks based on PyTorch. Spatial-temporal ODEs and PDEs are both supported.

omega_h

Simplex mesh adaptivity for HPC

pde-surrogate

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

pinn

Physics-informed neural networks package

pinns

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