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Top 12 Julia automatic-differentiation Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
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ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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OMEinsum.jl
One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD
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NBodySimulator.jl
A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
You seem somewhat obsessed with the idea that reverse-mode autodiff is not the same technique as forward-mode autodiff. It makes you,,, angry? Seems like such a trivial thing to act a complete fool over.
What's up with that?
Anyway, here's a forward differentiation package with a file that might interest you
https://github.com/JuliaDiff/ForwardDiff.jl/blob/master/src/...
Project mention: SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code | news.ycombinator.com | 2023-05-18Interesting response. I develop the Julia SciML organization https://sciml.ai/ and we'd be more than happy to work with you to get wrappers for PRIMA into Optimization.jl's general interface (https://docs.sciml.ai/Optimization/stable/). Please get in touch and we can figure out how to set this all up. I personally would be curious to try this out and do some benchmarks against nlopt methods.
Julia automatic-differentiation related posts
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Help me to choose an optimization framework for my problem
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Excited for Julia v1.9
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The Julia language has a number of correctness flaws
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Auto Differentiation for Computational and Mathematical Engineering in Julia
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Automatic Differentiation Does Incur Truncation Errors (Kinda)
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Index
What are some of the best open-source automatic-differentiation projects in Julia? This list will help you:
Project | Stars | |
---|---|---|
1 | Zygote.jl | 1,442 |
2 | ForwardDiff.jl | 855 |
3 | Optimization.jl | 671 |
4 | Tullio.jl | 584 |
5 | Grassmann.jl | 450 |
6 | ChainRules.jl | 411 |
7 | Enzyme.jl | 402 |
8 | Surrogates.jl | 314 |
9 | ADCME.jl | 284 |
10 | OMEinsum.jl | 164 |
11 | NBodySimulator.jl | 124 |
12 | JuliaComputation | 79 |
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