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Differential equations
Links
Overview of differential equations | Chapter 1 (2019)
Lecture on differential equations using GNU TeXmacs (2020)
DeepXDE
- Deep learning library for solving differential equations on top of TensorFlow.
torchdyn
- PyTorch based library for all things neural differential equations.
Neural Controlled Differential Equations for Irregular Time Series
Differential Forms and Integration (2008)
(
HN
)
MIT Differential Equations course (2020)
MIT Linear Partial Differential Equations: Analysis and Numerics (2016)
MIT Numerical Methods for Partial Differential Equations (2006)
An intuitive look at differential forms (2020)
Learning second order coupled differential equations that are subject to non-conservative forces (2020)
(
HN
)
Smooth
- Arbitrary-precision differentiable programming language.
odin
- DSL for describing and solving differential equations in R.
Learning Differential Equations that are Easy to Solve (2020)
(
Code
)
heyoka
- C++ library for ODE integration via Taylor's method and LLVM.
Ordinary Differential Equations Course Notes
Score-Based Generative Modeling through Stochastic Differential Equations (2021)
(
Code
)
Notes on Diffy Qs: Differential Equations for Engineers
(
Code
)
Convolutional Solvers for PDEs
diffeqpy
- Package for solving differential equations in Python.
neurodiffeq
- Package for solving differential equations with neural networks.
rodeo
- Probabilistic Solution of Differential Equations.
Graph based neural operators
- Using graph network to solve PDEs.
Differentiable Programming: A Semantics Perspective (2018)
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