deephyper
archai
| deephyper | archai | |
|---|---|---|
| 1 | 3 | |
| 262 | 455 | |
| 0.8% | 1.1% | |
| 8.9 | 8.3 | |
| 12 days ago | 5 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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deephyper
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[R] DeepHyper; software package to automate design and development of ML models
Link: https://github.com/deephyper/deephyper
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
What are some alternatives?
autokeras - AutoML library for deep learning
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
keras-tuner - A Hyperparameter Tuning Library for Keras
sapientml - Generative AutoML for Tabular Data
openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
autogluon - Fast and Accurate ML in 3 Lines of Code