dynamax VS tensor-sensor

Compare dynamax vs tensor-sensor and see what are their differences.

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. (by parrt)
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dynamax tensor-sensor
1 1
617 745
5.7% -
7.1 1.8
2 months ago about 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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.
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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.

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.

tensor-sensor

Posts with mentions or reviews of tensor-sensor. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing dynamax and tensor-sensor you can also consider the following projects:

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..

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.

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

uvadlc_notebooks - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!

ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]

graphsignal-python - Graphsignal Tracer for Python

etils - Collection of eclectic utils for python.

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

ivy - The Unified AI Framework