Stochastic-Processes
My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension. (by VincentGranville)
NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight) (by patrick-kidger)
| Stochastic-Processes | NeuralCDE | |
|---|---|---|
| 1 | 1 | |
| 30 | 581 | |
| - | - | |
| 6.4 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| - | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stochastic-Processes
Posts with mentions or reviews of Stochastic-Processes.
We have used some of these posts to build our list of alternatives
and similar projects.
-
New Book: Gentle Introduction To Chaotic Dynamical Systems
Authored by Dr. Vincent Granville, 82 pages, published in March 2023. Available on our e-Store exclusively, here. See the table contents or sample chapter on GitHub here. The Python code is also in the same repository.
NeuralCDE
Posts with mentions or reviews of NeuralCDE.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing Stochastic-Processes and NeuralCDE you can also consider the following projects:
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods