Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains. (by DataCanvasIO)
knn_toy_model
Using Hypernets to implement K-nearest neighbors as a toy model (by BochenLv)
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| Hypernets | knn_toy_model | |
|---|---|---|
| 1 | 1 | |
| 261 | 1 | |
| 0.8% | - | |
| 7.7 | 0.0 | |
| 8 days ago | almost 3 years ago | |
| Python | Python | |
| 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.
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.
Hypernets
Posts with mentions or reviews of Hypernets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-28.
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[N][R] A Brief Tutorial for Developing AutoML Tools with Hypernets
Please see here for the Hypernets library.
knn_toy_model
Posts with mentions or reviews of knn_toy_model.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-28.
-
[N][R] A Brief Tutorial for Developing AutoML Tools with Hypernets
To reveal the core features and ideas of Hypernets, we first continue to solve the problem defined in the very beginning--how to perform parameter tuning of KNN automatically using Hyernets--but in a different manner: we view the parameter tuning problem as a complete AutoML task and develop a complete AutoML tool for this task from scratch using Hypernets. For simplicity, we only consider the classification task, and the regression case can be easily generalized. As introduced above, this developing procedure contains 3 steps and we will simply follow these steps. See here for details.
What are some alternatives?
When comparing Hypernets and knn_toy_model you can also consider the following projects:
de-torch - Minimal PyTorch Library for Differential Evolution
aizynthfinder - A tool for retrosynthetic planning
autokeras - AutoML library for deep learning
NAS-Projects - Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects]