TF_JAX_tutorials VS dynamax

Compare TF_JAX_tutorials vs dynamax and see what are their differences.

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TF_JAX_tutorials dynamax
1 1
258 617
- 1.3%
0.0 7.1
over 2 years ago 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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TF_JAX_tutorials

Posts with mentions or reviews of TF_JAX_tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-08.

dynamax

Posts with mentions or reviews of dynamax. We have used some of these posts to build our list of alternatives and similar projects.
  • Parameter estimation of a linear system
    1 project | /r/ControlTheory | 8 Jan 2023
    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?

When comparing TF_JAX_tutorials and dynamax you can also consider the following projects:

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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..

equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.

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.

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.

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