AutoDL-Projects
deephyper
AutoDL-Projects | deephyper | |
---|---|---|
3 | 1 | |
1,546 | 262 | |
- | 0.8% | |
1.8 | 8.9 | |
about 2 years ago | 14 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" 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.
AutoDL-Projects
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Forward pass computation for GDAS NAS coding
https://github.com/D-X-Y/AutoDL-Projects/issues/99#issuecomment-835802887
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Backpropagation for Network Architecture Search (NAS)
However in GDAS, there are multiple parallel edges in between two nodes.
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Gumbel-Max implementation
Could anyone explain how this Gumbel-Max code implementation works ?
deephyper
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[R] DeepHyper; software package to automate design and development of ML models
Link: https://github.com/deephyper/deephyper
What are some alternatives?
makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS
autokeras - AutoML library for deep learning
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
keras-tuner - A Hyperparameter Tuning Library for Keras
openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
compression - Data compression in TensorFlow
ml-engineering - Machine Learning Engineering Open Book