archai
autokeras
| archai | autokeras | |
|---|---|---|
| 3 | 5 | |
| 455 | 9,066 | |
| 1.1% | 0.1% | |
| 8.3 | 5.3 | |
| 4 months ago | about 1 month ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
archai
- [D] Where is AutoML for NNs?
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Questions about reproducing DARTS code implementation
https://github.com/microsoft/archai/blob/ed2296f9b8226c49c0339244242dcef201012b95/archai/algos/darts/bilevel_optimizer_slow.py#L34 is not trivial to understand though
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
What are some alternatives?
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
autogluon - Fast and Accurate ML in 3 Lines of Code
only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
sapientml - Generative AutoML for Tabular Data
adanet - Fast and flexible AutoML with learning guarantees.
tf-keras-vis - Neural network visualization toolkit for tf.keras
deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
automlbenchmark - OpenML AutoML Benchmarking Framework
makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS
AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.