-
Dear Patrick,
Thanks for this library, it's pretty neat!
I'm currently supervising a bachelor's students thesis on NeuralODEs, and we've been meaning to use `diffrax` to study delay differentia…
-
I see you are writing regression code using Python. Scipy has solvers for non-linear equations, however scipy's default initial parameter values are all 1.0. This can be suboptimal, and in more comple…
-
Subscribe to this issue and stay notified about new [daily trending repos in Julia](https://github.com/trending/julia?since=daily).
-
### **Glycolysis**
- **Accuracy**: The model correctly represents glycolysis occurring in the cytoplasm, where each glucose molecule is converted into two pyruvate molecules, yielding a net gain of…
-
Chepy looks wonderful and I very much enjoy using it to work with distribution functions.
However, I'm hoping to use it more generally and am looking for ODE solvers. Hence the question:
Does c…
-
I see on your GitHub project page's TODO list that you plan to write Python code for gradient descent. A general problem for gradient descent, particularly for more complex equations, is the choice of…
-
First, I want to thank you for your amazing library. You have done a massive work which are very useful for my research.
-----------------
diffrax 0.6.0
optimistix 0.0.7
jax 0.4.30
------------…
dv-ai updated
4 weeks ago
-
Drift:
- [ ] Explicit Runge-Kutta methods for the drift computation
- [x] Butcher-Tableau
- [x] RK4
- [ ] ~~Specialized for RK2 (Heun and Ralston)~~
- [ ] ~~Runge—Kutta—Nyström me…
-
This is in essence the same problem as https://github.com/SciML/OrdinaryDiffEq.jl/issues/2045, except that differential variables are present but evolve far too slowly to provide indirect error contro…
-
The client side of the GWT toolkit offers fascinating opportunities for creating *truly* interactive content in ePubs.
Basically the only stumbling block for ePubs are instructions to the effect of…