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1,998 results
SciML: Open Source Software for Scientific Machine Learning SciML is a NumFOCUS sponsored open source software ...
1,167 views
4 years ago
SciML stands for Scientific Machine Learning. SciML is a collection of state-of-the-art tools for Scientists written in the Julia ...
5,585 views
3 years ago
Scientific machine learning combines differentiable programming, scientific simulation (differential equations, nonlinear solvers, ...
43,920 views
Streamed 5 years ago
"Optimal Control in Julia: SciML's newest tooling" by Chris Rackauckas, presented at JuliaCon Local Paris 2025. Optimal control ...
1,565 views
5 months ago
Chris Rackauckas talks about his plan to extend the Julia SciML Ecosystem to a Backbone for PDEs Join the channel to support ...
927 views
2 months ago
Recorded 16 April 2026. Benjamin Sanderse of Centrum Wiskunde & Informatica presents "Structure-preserving SciML for ...
295 views
4 days ago
Machine learning is the process of learning functions. In this talk we introduce what neural networks are at a high level and use ...
2,949 views
2 years ago
Chris Rackauckas Applied Mathematics Instructor, MIT Senior Research Analyst, University of Maryland, Baltimore School of ...
2,081 views
5 years ago
Presentation by Chris Rackauckas at ChapelCon '25. Slides for this talk are available at: ...
95 views
Efficient boundary value problems solving in SciML by Chris Rackauckas, Qingyu Qu PreTalx: ...
935 views
4 months ago
Code link: https://drive.google.com/file/d/1DJhIgulv6878N68_8ECwuX--rGxpfn5d/view?usp=sharing _____ Most people think ...
7,350 views
10 months ago
State of Julia's SciML Ecosystem by Chris Rackauckas PreTalx: https://pretalx.com/juliacon2024/talk/QKU8BE/ SciML is huge.
3,711 views
1 year ago
SciML is huge. If I say "I am using a SciML package", that could mean DifferentialEquations.jl, but it could also mean ...
2,813 views
11 months ago
Learn how to leverage Dyad's model discovery capabilities to automatically identify and complete missing physics in your ...
884 views
This talk was part of SciMLCon 2022! For more information, check out https://scimlcon.org/2022/. For more information on the ...
10,850 views
Title: Automatic Differentiation and SciML: What Can Go Wrong, and What to Do About It? Scientific machine learning (SciML) ...
5,019 views
In this video, I implemented the PINNsformer architecture entirely from scratch. PINNsformer, introduced at ICLR 2024, opened a ...
2,708 views
For details, visit https://www.flyvidesh.online/ml-bootcamp.
692 views
This is a talk in Scientific Machine Learning Webinar Series (https://www.cmu.edu/aced/sciML.html) at CMU on March 30, 2023.
640 views
TITLE: Foundational Methods for Foundation Models for Scientific Machine Learning SPEAKER: Michael W. Mahoney, ICSI, LBNL ...
183 views