donkeycar VS autokeras

Compare donkeycar vs autokeras and see what are their differences.

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donkeycar autokeras
5 5
3,020 9,075
1.6% 0.2%
5.7 5.3
11 days ago about 2 months ago
Python Python
MIT License Apache License 2.0
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.

donkeycar

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

autokeras

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

What are some alternatives?

When comparing donkeycar and autokeras you can also consider the following projects:

surrortg-sdk - Surrogate python sdk for controlling devices on surrogate.tv

autogluon - Fast and Accurate ML in 3 Lines of Code

Gravis - Gravis is an open-source robot with the goal of having advanced features at a low cost

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

ActionAI - Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

adanet - Fast and flexible AutoML with learning guarantees.

minifi-jetson-nano - MiNiFi Agent Configuration and Scripts for NVidia Jetson Nano device

tf-keras-vis - Neural network visualization toolkit for tf.keras

afeka-mtg-detector

automlbenchmark - OpenML AutoML Benchmarking Framework

Lego-generator

AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.