autokeras
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autokeras | crystal-book | |
---|---|---|
5 | 2 | |
9,061 | 380 | |
0.2% | -0.8% | |
5.3 | 8.1 | |
28 days ago | 9 days ago | |
Python | Makefile | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
autokeras
- Technical documentation that just works
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[D] [P] How do you use tools like AutoML?
AutoKeras time_series_forecaster.py
crystal-book
What are some alternatives?
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
adanet - Fast and flexible AutoML with learning guarantees.
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.
NAS-Projects - Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects]
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.
pydantic - Data validation using Python type hints
sphinx - The Sphinx documentation generator
textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.