afrah Goto Github PK

2023_microsoft

Microsoft iQuHACK 2023 Remote Challenge_AKRV

abcd

The Augmented Block Cimmino Distributed Solver

ai-science-training-series

apriori-algorithm

Apriori is a classic algorithm for learning association rules. Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation).

association-rule-hiding

association rule hiding

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

boon

Datasets and code for results presented in the BOON paper

c-_apriori-algorithm

association rule hiding

causalpinns

csparse.py

CSparse.py: a Concise Sparse matrix Python module

d-wave_examples

datasciencecoursera

cousrea course data toolbox

datasharing

The Leek group guide to data sharing

dwpinns

Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations

fbpinns

Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".

fem-vs-pinns

generatedata

Random data generator in JS, PHP and MySQL.

get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

gradientpathologiespinns

hands-on-quantum-machine-learning-with-python-vol-1

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

investigating_mitigating_failure_modes_in_pinns

This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

nwunsch

phycrnet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

physics_informed

pinns

Physics-Informed Neural Networks for solving PDEs

pinnsntk

poisson-3d-matrix-for-n-

generates 3D Poisson Matrix for any value of N( without any compression)

python