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ChrisRackauckas

3,832 karma · joined October 6, 2016

I am the developer of the SciML Scientific Machine Learning Open Source Software Organization (https://sciml.ai/), an organization for Julia, Python and R packages for integrated, composible, and fast scientific machine learning. I also have used quite a bit of MATLAB, C, and Fortran (well, at least used for numerical work), but these days. I think the purpose of discussing technical topics is the dissemination of ideas, so let's bring each other up not down!
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Abstractdifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia

arxiv.org·2 pts·ChrisRackauckas·
0

Julia for Biologists

arxiv.org·3 pts·ChrisRackauckas·
0

Useful algorithms that are not optimized by Jax, PyTorch, or TensorFlow

stochasticlifestyle.com·214 pts·ChrisRackauckas·
28

Shadowing Methods for Forward and Adjoint Sensitivity Analysis of Chaotic System

frankschae.github.io·1 pts·ChrisRackauckas·
0

ModelingToolkit, Modelica, and Modia: The Composable Modeling Future in Julia

stochasticlifestyle.com·6 pts·ChrisRackauckas·
0

Generalizing Automatic Differentiation: Uncertainty, Stability, and Parallelism

stochasticlifestyle.com·1 pts·ChrisRackauckas·
0

JuliaSymbolics Roadmap: A Modern Computer Algebra System for a Modern Language

juliasymbolics.org·3 pts·ChrisRackauckas·
0

JuliaCall Update: Automated Julia Installation for R Packages

stochasticlifestyle.com·93 pts·ChrisRackauckas·
14

Bayesian Neural Ordinary Differential Equations

arxiv.org·1 pts·ChrisRackauckas·
1

Cuda.jl 2.0

juliagpu.org·6 pts·ChrisRackauckas·
0

MIT-led team to develop software to help forecast space storms

news.mit.edu·3 pts·ChrisRackauckas·
0

Analyzing sources of compiler latency in Julia: method invalidations

julialang.org·1 pts·ChrisRackauckas·
0

Physics-informed neural networks (PINNs) solver on Julia

nextjournal.com·4 pts·ChrisRackauckas·
1

GPU-Accelerated Ode Solving in R with Julia, the Language of Libraries

stochasticlifestyle.com·4 pts·ChrisRackauckas·
1

SciML: Neural PDEs, Lie Groups, and Stochastic Delay Differential Equations

sciml.ai·3 pts·ChrisRackauckas·
0

The JuliaConnectoR: a functionally oriented interface for integrating Julia in R [pdf]

arxiv.org·3 pts·ChrisRackauckas·
1

Machine Learning aided Epidemiology: Covid-19 Global quarantine strength

covid19ml.org·2 pts·ChrisRackauckas·
0

Microsoft Research: Studies in Pandemic Preparedness

microsoft.com·2 pts·ChrisRackauckas·
0

SciML Open Source Software Organization Roadmap

sciml.ai·2 pts·ChrisRackauckas·
0

Physics-informed neural networks (PINNs) solvers on Julia

nextjournal.com·2 pts·ChrisRackauckas·
0

Forecasting the Weather with Neural Odes

sebastiancallh.github.io·3 pts·ChrisRackauckas·
0

Cheap but Effective: Effective Pandemic Policies Without Knowing Who's Infected

youtu.be·2 pts·ChrisRackauckas·
0

Cheap but Effective: Effective Pandemic Policies Without Knowing Who's Infected

youtu.be·2 pts·ChrisRackauckas·
0

SciML Ecosystem Update: Auto-Parallelism and Component-Based Modeling

sciml.ai·2 pts·ChrisRackauckas·
0

Replication Study of Imperial Report 13 Covid-19 Infections Predictions

turing.ml·1 pts·ChrisRackauckas·
0

SciML Ecosystem Update: Automated Model Discovery with Datadrivendiffeq.jl

sciml.ai·3 pts·ChrisRackauckas·
0

Digital ‘virus’ helps researchers map potential spread

news.cornell.edu·2 pts·ChrisRackauckas·
0

Safe Blues: A Method for Estimation and Control in the Fight Against Covid-19

safeblues.org·2 pts·ChrisRackauckas·
0

Safe Blues: A Method for Estimation and Control in the Fight Against Covid-19 [pdf]

safeblues.org·2 pts·ChrisRackauckas·
0

SciML: An Open Source Software Organization for Scientific Machine Learning

sciml.ai·2 pts·ChrisRackauckas·
0
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