LaoZhongjie/lstm-chaos-dynamics

A research project investigating how LSTM training dynamics relate to dynamical stability and order–chaos transitions through Finite-Time Lyapunov Exponent (FTLE) analysis.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

—

Category

neural-differential-equations

Last pushed

Mar 18, 2026

Commits (30d)

0

GitHub
Neural Differential Equations · 108 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/LaoZhongjie/lstm-chaos-dynamics"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

pnnl/neuromancer

Pytorch-based framework for solving parametric constrained optimization problems,...

80

wilsonrljr/sysidentpy

A Python Package For System Identification Using NARMAX Models

72

google-research/torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

72

lululxvi/deepxde

A library for scientific machine learning and physics-informed learning

71

dynamicslab/pysindy

A package for the sparse identification of nonlinear dynamical systems from data

71

Explore ML Frameworks

All categories Trending ML Framework directory Insights