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GitHub / guan-yuan / awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Stars: 827
Forks: 160
Open Issues: 1
License: None
Language:
Repo Size: 150 KB
Dependencies:
0
Created: over 5 years ago
Updated: 23 days ago
Last pushed: almost 3 years ago
Last synced: 22 days ago
Topics: architecture-search, automated-feature-engineering, automl, awesome-list, hyperparameter-optimization, meta-learning, model-acceleration, model-compression, nas, neural-architecture-search, pytorch, quantization, quantized-neural-network, quantized-training, tensorflow
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