kristiantorres

dash

Data Apps & Dashboards for Python. No JavaScript Required.

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

gdown

Google Drive Public File Downloader when Curl/Wget Fails

best_AI_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

DDNM

[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

thebe

Turn static HTML pages into live documents with Jupyter kernels.

acer-predator-turbo-and-rgb-keyboard-linux-module

Linux kernel module to support Turbo mode and RGB Keyboard for Acer Predator notebook series

torch-radon

Computational Tomography in PyTorch

torch_cg

Preconditioned Conjugate Gradient in Pytorch

course-101-0250-00

ETH course - Solving PDEs in parallel on GPUs

ufno

U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow

linear_operator

A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch

UNO

dmps

dmps code

2d-tomography

This repository is a 2D travel-time tomography seismic using MATLAB which I build and my friend Rinta in order to complete my Final Projects. The forward modelling is resolved using Fast Marching Method (FMM) with finite difference approximation and the raytracing is resolved based on John Vidale paper, Finite difference calculation of travel times. This code can use two method in inversion part, Least Square and Pseudo-Inverse where the input data is only needed travel time and the location of station (in UTM, both easting and northing). You can also set some parameters which could affects the tomography result, such as the number of iteration, displaying forward modelling or inverse modelling to track your data, save your model or not and etc.

forward-forward

A simple Python implementation of forward-forward NN training by G. Hinton from NeurIPS 2022

linpde-gp

Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"

CNN-POCS

CNN-POCS algorithm for seismic data interpolation

IO-Fortran-Library

A portable, standard I/O library for Modern Fortran

-earthquake-wave-in-PINN

this is a case of seismic wave forward and inversion using PINN(physical-informed neural network)

jax-intro

Introduction to jax

Proximal_Residual_Flows

Proximal Residual Flows for Bayesian Inverse Problems

deep-seismic-regularizer

Deep learning based regularizers for seismic inversion

ajmalkoti.github.io

NewDeepWave

NewDeepWave

cascaded-null-space-learning

Accelerated MRI reconstruction using data-consistent and uncertainty-aware null space networks