Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
machine-learning
deep-learning
python
pytorch
hyperparameter-optimization
automated-machine-learning
automl
model-compression
nas
neural-architecture-search
darts
petridish
Обновлено 2024-10-23 20:40:41 +03:00
This is a collection of our NAS and Vision Transformer work.
Обновлено 2024-07-25 13:29:13 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
Обновлено 2023-06-12 21:47:21 +03:00
Обновлено 2023-06-12 21:12:45 +03:00
Обновлено 2023-06-12 21:12:45 +03:00
Algorithms to find Bertrand Nash equilibria in pricing games
Обновлено 2022-11-28 22:12:35 +03:00
This is the implementation of the TextNAS algorithm proposed in the paper TextNAS: A Neural Architecture Search Space tailored for Text Representation.
Обновлено 2022-11-28 22:09:08 +03:00