yifanc96

bayes-kit

Bayesian inference and posterior analysis for Python

SiT

Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

what-is

Important concepts in numerical linear algebra and related areas

PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

wqmc

jax-cfd

Computational Fluid Dynamics in JAX

RSNG

Sample code for Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks

torchspde

Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics

stochastic-interpolants

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

bless

Fast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA

falkon

Large-scale, multi-GPU capable, kernel solver

GaussianProcessPDEs

Demonstrations of Gaussian processes for computation, inference and uncertainty quantification with PDE measurements

ExponentialMsFEM.jl

Exponentially convergent multiscale finite element methods

LoopVectorization.jl

Macro(s) for vectorizing loops.

InverseProblems.jl

OperatorFlux.jl

Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-independent spatio-temporal ML models.

NeuralOperators.jl

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

TRIPODS_Winter_School_2022

Practicum on Supervised Learning in Function Spaces

SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

hardware_introduction

What scientific programmers must know about CPUs and RAM to write fast code.

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Python

All Algorithms implemented in Python

yn

A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and macro replacement.

Compact-Transformers

Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

multithreading-vs-multiprocessing

Multithreading VS Multiprocessing in Python.

parallel_python

Parallel Programming with Python Tutorial