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applied-deep-learning-with-keras

Deep Learning examples with Keras.

crack_kinematics

This repository contains the codes for computing crack kinematics using a binary mask that represents a segmented crack. The methodoly hereby implementes was presented in the paper "Determing crack kinematics from imaged crack patterns" by Pantoja-Rosero et., al.

cyipopt

Cython interface for the interior point optimzer IPOPT

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deep-dic-crack

deepgenerativemodelingintro

PyTorch Code used in 'Introduction to Deep Generative Modeling'

diffusion-forecast

Non-parametric probabilistic forecast with uncertainty quantification

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

fbpca

Fast Randomized PCA/SVD

fenics_demo

The repository contains some examples of codes for solving PDEs using FEniCS.

gdm-pce

Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".

gdmaps

Jupyter notebooks for the paper: Grassmannian diffusion maps based dimension reduction and classification for high-dimensional data

geometrickernels

Geometric kernels on manifolds, meshes and graphs

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

massively-parallel-gpu-ode-solver

GPU accelerated integrator for large number of independent ordinary differential equation systems

mistree

A python package for constructing and analysing minimum spanning trees.

ml_course

EPFL Machine Learning Course, Fall 2019

ml_predictive

modelos_vol_derivativos

Jupyter notebooks que acompanham o livro "Modelos de Volatilidade para Derivativos"

mydmaps

This repository contains the Python files and Jupiter notebooks running several examples of Diffusion Maps

neuralnets

nn-svg

Publication-ready NN-architecture schematics.

odes_for_sdes

Deterministic particle dynamics for simulating Fokker-Planck probability flows

pbdo

A code for Performance-Based Design Optimization (PBDO) of buildings modeled as oscillators using statistical linearization.

picspde

Python codes for Introduction to Computational Stochastic PDE

pyipopt

A Python connector to IPOPT

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

pytorch-computer-vision-cookbook

PyTorch Computer Vision Cookbook, Published by Packt

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images