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acorn

ACORN: Adaptive Coordinate Networks for Neural Scene Representation | SIGGRAPH 2021

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cv

Guangchuang Yu's CV

datadrivencv

R package for building customizable CVs from spreadsheets

dino

Time- and space-continuous neural PDE forecaster based on INRs and ODEs

eaglemeshtransformer

Code for Mesh Transformer describes in the EAGLE dataset

fbpinns

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

fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

fourier-neural-operator

geo-fno

Geometry-Aware Fourier Neural Operator (Geo-FNO)

hmmer2go

Annotate DNA sequences for Gene Ontology terms

juncbase

Junction Based Analysis of Splicing Events for RNA-Seq

linearly-constrained-nn

[UNMAINTAINED] Companion code for the technical report: Linearly Constrained Neural Networks https://arxiv.org/abs/2002.01600

multiscalepinns

neuraloperator

Learning in infinite dimension with neural operators.

pagedown

Paginate the HTML Output of R Markdown with CSS for Print

pinns-mean-flow-reconstruction

python-script-for-rna-seq

python scripts used in the analysis of rna-seq project

rmarkdown

Dynamic Documents for R

rmats-turbo

sape

vscode-setting

vscode general setting, include launch.json, setting.json, task.json

vtk

Mirror of Visualization Toolkit repository

xpinns

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations