Media Summary: Since we originally proposed the need for a first-class language, compiler and ecosystem for machine learning (ML) - a view that ... Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... In this insightful talk, Valentin Churavy (University of Augsburg) explores

Differentiable Programming With Julia By - Detailed Analysis & Overview

Since we originally proposed the need for a first-class language, compiler and ecosystem for machine learning (ML) - a view that ... Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... In this insightful talk, Valentin Churavy (University of Augsburg) explores In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. This talk was presented as part of JuliaCon2021 Abstract: The alignment of two or more biological sequences is one of the main ... Boeing Distinguished Colloquium, November 21, 2019 Alan Edelman Massachusetts Institute of Technology Title:

The modified Bessel function of the second kind, provided by `SpecialFunctions.jl` as `besselk`, is an important function in several ... This talk was presented as part of JuliaCon 2021. Abstract: Deep learning has grown steadily and there has been rising interest ...

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Differentiable Programming with Julia by Mike Innes
What’s next in AI: Differentiable Programming By Viral Shah Co-creator of Julia programming language
Models as Code Differentiable Programming with Julia by Viral Shah #ODSC_India
Models as Code: Differentiable Programming with Zygote
FerriteCon 2025 Valentin Churavy: Differentiable programming for scientific computing
Differentiable Programming Part 1: Reverse-Mode AD Implementation
Differentiable isospectral flows for matrix diagonalization | Julian Arnold | JuliaCon 2023
Learning to align with differentiable dynamic programming | Michiel Stock | JuliaCon2021
Boeing Colloquium: Julia: Differentiable Programming and Software 2.0
The impact of differentiable programming: how ∂P is enabling new science in Julia
`BesselK.jl` A Fast Differentiable Implementation of `besselk` | Christopher J Geoga | JuliaCon 2022
A Tour of the differentiable programming landscape with Flux.jl | Dhairya Gandhi | JuliaCon 2021
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Differentiable Programming with Julia by Mike Innes

Differentiable Programming with Julia by Mike Innes

We've discussed the idea of

What’s next in AI: Differentiable Programming By Viral Shah Co-creator of Julia programming language

What’s next in AI: Differentiable Programming By Viral Shah Co-creator of Julia programming language

Julia

Models as Code Differentiable Programming with Julia by Viral Shah #ODSC_India

Models as Code Differentiable Programming with Julia by Viral Shah #ODSC_India

Since we originally proposed the need for a first-class language, compiler and ecosystem for machine learning (ML) - a view that ...

Models as Code: Differentiable Programming with Zygote

Models as Code: Differentiable Programming with Zygote

Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ...

FerriteCon 2025 Valentin Churavy: Differentiable programming for scientific computing

FerriteCon 2025 Valentin Churavy: Differentiable programming for scientific computing

In this insightful talk, Valentin Churavy (University of Augsburg) explores

Differentiable Programming Part 1: Reverse-Mode AD Implementation

Differentiable Programming Part 1: Reverse-Mode AD Implementation

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

Differentiable isospectral flows for matrix diagonalization | Julian Arnold | JuliaCon 2023

Differentiable isospectral flows for matrix diagonalization | Julian Arnold | JuliaCon 2023

For more info on the

Learning to align with differentiable dynamic programming | Michiel Stock | JuliaCon2021

Learning to align with differentiable dynamic programming | Michiel Stock | JuliaCon2021

This talk was presented as part of JuliaCon2021 Abstract: The alignment of two or more biological sequences is one of the main ...

Boeing Colloquium: Julia: Differentiable Programming and Software 2.0

Boeing Colloquium: Julia: Differentiable Programming and Software 2.0

Boeing Distinguished Colloquium, November 21, 2019 Alan Edelman Massachusetts Institute of Technology Title:

The impact of differentiable programming: how ∂P is enabling new science in Julia

The impact of differentiable programming: how ∂P is enabling new science in Julia

Fully incorporating

`BesselK.jl` A Fast Differentiable Implementation of `besselk` | Christopher J Geoga | JuliaCon 2022

`BesselK.jl` A Fast Differentiable Implementation of `besselk` | Christopher J Geoga | JuliaCon 2022

The modified Bessel function of the second kind, provided by `SpecialFunctions.jl` as `besselk`, is an important function in several ...

A Tour of the differentiable programming landscape with Flux.jl | Dhairya Gandhi | JuliaCon 2021

A Tour of the differentiable programming landscape with Flux.jl | Dhairya Gandhi | JuliaCon 2021

This talk was presented as part of JuliaCon 2021. Abstract: Deep learning has grown steadily and there has been rising interest ...

PyCallChainRules.jl: Reusing Differentiable Python Code in Julia | Jayesh K. Gupta | JuliaCon 2022

PyCallChainRules.jl: Reusing Differentiable Python Code in Julia | Jayesh K. Gupta | JuliaCon 2022

While