dynamax
TF_JAX_tutorials
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| dynamax | TF_JAX_tutorials | |
|---|---|---|
| 1 | 1 | |
| 617 | 258 | |
| 5.7% | - | |
| 7.1 | 0.0 | |
| 2 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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.
TF_JAX_tutorials
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JAX Tutorials [D]
Someone already gave the links https://github.com/AakashKumarNain/TF_JAX_tutorials
What are some alternatives?
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..
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
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.
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
uvadlc_notebooks - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023