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diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

differentiable-piso

Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"

differentialequations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

diffusionmontecarlo

This is a Diffusion Monte Carlo code written in Fortran 90. The code performs a DMC simulation of a homogeneous system in an arbitrary dimensionality.

digits

Deep Learning GPU Training System

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

diptest

R CRAN package `diptest` : Hartigan's diptest for unimodality (including p-values)

dist-keras

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

djs-office-hours

dl-pbl

Fast domain-aware neural network emulation of a planetary boundary layer parameterization in a numerical weather forecast model

dl-profiling-examples

Example scripts and profiling demonstrations for deep learning models

dlhub_examples

dlhub_sdk

Python Interface to the Data and Learning Hub for Science

dnn-based-nirom

this repository contains code for SlopeNet using several numerical methods

dnn-rom-jfm

dnsbox

dnsbox code and data

docs

TensorFlow documentation

documentation

Code documentation lesson material.

dominant-balance

Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)

dracula

drlinfluids

drwhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

dsrrans

Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections

dtd

Construct a distribution-to-distribution (DTD) model for a reactive atom-diatom collision system.

dtwclust

R Package for Time Series Clustering Along with Optimizations for DTW

dumux

DuMux: an open-source simulator for flow and transport processes in porous media (repository mirrored from https://git.iws.uni-stuttgart.de/dumux-repositories/dumux.git)

eaglemeshtransformer

Code for Mesh Transformer describes in the EAGLE dataset

easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

easybuild-easyconfigs

A collection of easyconfig files that describe which software to build using which build options with EasyBuild.