Sequential model-based optimization with a `scipy.optimize` interface
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Updated
Feb 23, 2024 - Python
Sequential model-based optimization with a `scipy.optimize` interface
Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
A small library for managing deep learning models, hyperparameters and datasets
Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
Tools for Optuna, MLflow and the integration of both.
Interactive exploration of hyperparameter tuning results with ipywidget and plotly in jupyter notebook.
Distributed Asynchronous Hyperparameter Optimization in Python
A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).
Automatically create a config of hyper-parameters from global variables
Hyperparameter optimisation utility for lightgbm and xgboost using hyperopt.
Hyper-Parameter Analyzer
A dl management front end
Hyper-parameter tuner (for computer vision and reinforcement learning)
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