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Looking through [`neural_de.jl`](https://github.com/JuliaDiffEq/DiffEqFlux.jl/blob/master/src/neural_de.jl) it doesn't look like it'll be hard to implement a `NeuralDAE`.
I'm interested in using th…
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Currently FMI 2.0 provides and interface to provide partial derivatives in the form of dirctional derivatives (e.g., Jacobian J times direction vector v, Jv)
For several use cases, it would be ben…
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I'm wondering if you get give me a high-level description of what the following code is doing in crypten/mpc/primitives/arithmetic.py:324 ... I'm especially confused about why it only applies when the…
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**Submitting author:** @feiyu-chen96 (Feiyu Chen)
**Repository:** https://github.com/odegym/neurodiffeq
**Version:** 1.0.0
**Editor:** @drvinceknight
**Reviewers:** @dawbarton, @marcharper
**Author …
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arXiv论文跟踪
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Very excited to try out some of the demo code for UDEs, and I didn't have any trouble with the ODE example (starting at https://github.com/JuliaDiffEq/DiffEqFlux.jl#universal-differential-equations) b…
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Hello @lululxvi ,
I find your package is very powerful, which can do many things on deep learning, such as fitting data which is simpler than solving and learning PDE, regression analysis of data and…
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**Submitting author:** @briandesilva (Brian de Silva)
**Repository:** https://github.com/dynamicslab/pysindy
**Version:** v0.12.0
**Editor:** @terrytangyuan
**Reviewers:** @sixpearls, @dawbarton
**Ma…
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Hey again :)
Not sure whether this should come here or to specific jitc*de I am using, but I feel it is a general question / problem.
So, I would need to make a table look-up as part of my dynamic…
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When I did this job recently, the most trouble I had was with the maths. So:
- https://julialang.org/blog/2013/04/distributed-numerical-optimization/
- https://julialang.org/blog/2017/09/gsoc-2017…