izzatum Goto Github PK

hypopy

HYPOcenter location from arrival time data in PYthon

im2im-uq

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

implicit-sinkhorn

infoot

InfoOT: Information Maximizing Optimal Transport

ipot

Implementation of Inexact Proximal point method for Optimal Transport

izzatum.github.io

Izzat's Website

jumbot

Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"

kaust-iraya_summerschool2021

Material for KAUST and Iraya's virtual summer school on Utilising unstructured data in geoscience.

ksddescent

Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities

langevin_gji_2020

Bayesian seismic inversion: Fast sampling Langevin dynamics Markov chain Monte Carlo

laplace-hypopinn

Notebooks repository for "Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty"

large-scale-wasserstein-gradient-flows

Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)

lod2021

PyTorch Tutorial at the LOD2021 conference

mirror-stein-samplers

Sampling with Mirrored Stein Operators

mlgeoscience

Teaching material for ML in Geoscience course

momentumnet

Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities.

multidim-positional-encoding

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

neuromorph

Implementation of the NeuroMorph method from CVPR 2021.

nonlinear-mcmc-paper

Python implementation of the NeurIPS 2022 paper arXiv:2202.05621 about nonlinear MCMC using Jax.

normalizing-flows

PyTorch implementation of normalizing flow models

ocfgan

Pytorch implementation of OCFGAN-GP (CVPR 2020, Oral).

otdd

Optimal Transport Dataset Distance

ott

ott-1

Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.

pct

Jittor implementation of PCT:Point Cloud Transformer

pct_pytorch

Pytorch implementation of PCT: Point Cloud Transformer

pdesbynns

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

pot

POT : Python Optimal Transport

proxygml

Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)

pylops

PyLops – A Linear-Operator Library for Python