autokeras
NAS-Projects
Our great sponsors
| autokeras | NAS-Projects | |
|---|---|---|
| 5 | 1 | |
| 9,065 | 1,288 | |
| 0.2% | - | |
| 5.3 | 9.4 | |
| about 1 month ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
autokeras
- Machine Learning Algorithms Cheat Sheet
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Ask HN: Which piece of tech is underutilized?
I think the interfaces aren't high level enough for the average programmer to adopt it. It needs what https://autokeras.com is for neural nets.
- Technical documentation that just works
- SVM training taking forever on my local machine. Will using AWS Sagemaker be faster for training SVM (Linear) models?
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[D] [P] How do you use tools like AutoML?
AutoKeras time_series_forecaster.py
NAS-Projects
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GDAS paper : Searching for A Robust Neural Architecture in Four GPU Hours
Code for https://arxiv.org/abs/1910.04465 found: https://github.com/D-X-Y/NAS-Projects
What are some alternatives?
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Hypernets - A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
adanet - Fast and flexible AutoML with learning guarantees.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
tf-keras-vis - Neural network visualization toolkit for tf.keras
automlbenchmark - OpenML AutoML Benchmarking Framework
AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
sphinx - The Sphinx documentation generator