rootsMapPython VS cvnn

Compare rootsMapPython vs cvnn and see what are their differences.

rootsMapPython

Fractals made from complex roots of all possible polynomials of certain degree (12 - 24) and small set of complex coefficients (2 or 3), littlewood polynomials included (by weightan)
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rootsMapPython cvnn
2 1
5 144
- -
1.8 3.2
over 2 years ago about 1 month ago
Python Python
- 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

rootsMapPython

Posts with mentions or reviews of rootsMapPython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

cvnn

Posts with mentions or reviews of cvnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-18.

What are some alternatives?

When comparing rootsMapPython and cvnn you can also consider the following projects:

Melvin.py - A user-friendly framework for building GPU-accelerated spectral simulations of 2-dimensional computational fluid dynamics problems.

DeepPoseKit - a toolkit for pose estimation using deep learning

fractal-jax - Generate images of the Julia and Mandelbrot sets with Jax.

tensorflow - An Open Source Machine Learning Framework for Everyone

numberphile-chaosgame - Recreation & the Extension of the behaviour shown in Numberphile's "Chaos Game"

Keras - Deep Learning for humans

Algorithmic-Video-Suggestion-LIB - Algorithmic Video Suggestion LIB is a software tool that suggests videos to users based on their past viewing habits and preferences. It uses advanced technology to analyze the user's viewing data and make smart predictions about what videos they would like to watch next.

TensorFI - TensorFI is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow framework. You can find more information about TensorFI in the paper below.