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Hyperparameter Optimization for 🤗 Transformers: A Guide
Basic grid search is not the most optimal, and in fact, the hyperparameters we choose can have a significant impact on our final model performance.
hyperparameter-optimization transformers ray ray-tune
Hyperparameter Optimization for AllenNLP Using Optuna
🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.
hyperparameter-optimization optuna allennlp allenai
Neural Network Intelligence (NNI)
NNI is a lightweight but powerful toolkit to help users automate Feature Engineering, Neural Architecture Search, Hyperparameter Tuning and Model ...
automl neural-architecture-search model-compression feature-engineering
Ray is a fast and simple framework for building and running distributed applications.
hyperparameter-optimization reinforcement-learning scalable-reinforcement-learning hyperparameter-tuning
Determined: Deep Learning Training Platform
Determined helps deep learning teams train models more quickly, easily share GPU resources, and effectively collaborate.
deeplearning ml-infrastructure hyperparameter-optimization neural-architecture-search
TPOT: Tree-based Pipeline Optimization Tool
TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
automl tpot genetic-programming hyperparameter-optimization
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