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)
pysindy
A package for the sparse identification of nonlinear dynamical systems from data (by dynamicslab)
Stochastic-Processes | pysindy | |
---|---|---|
1 | 5 | |
30 | 1,308 | |
- | 3.9% | |
6.4 | 9.3 | |
12 months ago | 2 days ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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.
pysindy
Posts with mentions or reviews of pysindy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-22.
- Sam Altman's ouster was precipitated by letter to board about AI breakthrough
-
Ask HN: Why don't datacenters have passive rooflines like Net Zero homes?
https://github.com/dynamicslab/pysindy/issues/383#event-1002...
awesome-machine-learning-fluid-mechanics >
- Why are neural networks not multi-dimensional?
- Creating an equation for a system given its data.
-
Physics-Based Deep Learning Book
Not MLP, but PySindy[0] might be a way to find a closed form solution. A simple MLP may not be best way to achieve what are you are after.
[0] https://github.com/dynamicslab/pysindy
What are some alternatives?
When comparing Stochastic-Processes and pysindy you can also consider the following projects:
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
sysidentpy - A Python Package For System Identification Using NARMAX Models