s4
dynamax
s4 | dynamax | |
---|---|---|
1 | 1 | |
2,151 | 619 | |
6.7% | 1.5% | |
6.0 | 6.5 | |
about 2 months ago | 12 days ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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s4
dynamax
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Parameter estimation of a linear system
If you can write your system in discrete time (e.g. by using forward Euler) you could use pretty straightforwardly a library like https://github.com/probml/dynamax to estimate your unknown parameters given some measured data.
What are some alternatives?
stable-diffusion-webui-colab - stable diffusion webui colab
OpenKF - This is an open source Kalman filter C++ library based on Eigen3 library for matrix operations. The library has generic template based classes for most of Kalman filter variants including: (1) Kalman Filter, (2) Extended Kalman Filter, (3) Unscented Kalman Filter, and (4) Square-root UKF..
LLMs-from-scratch - Implementing a ChatGPT-like LLM from scratch, step by step
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!
tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.