hyperparameter

Sequential model-based optimization with a `scipy.optimize` interface

Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

A small library for managing deep learning models, hyperparameters and datasets

Tools for Optuna, MLflow and the integration of both.

Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"

Hyperparameter optimisation utility for lightgbm and xgboost using hyperopt.

A dl management front end

Hyper-Parameter Analyzer

A portable configuration tool to manage hyperparameters and settings of your experiments.

A scikit-learn compatible hyperparameter search that progressively eliminates low-scoring values — fewer fits, same best params.

Interactive exploration of hyperparameter tuning results with ipywidget and plotly in jupyter notebook.

Automatically create a config of hyper-parameters from global variables

Hyper-parameter tuner (for computer vision and reinforcement learning)

Distributed Asynchronous Hyperparameter Optimization in Python

模型超参数调优仓库

This is kaggle competion. For creating this ML classification models and other preprocessing techniques use

A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).

Mini Project for Implementasi Decision Tree dengan CART

labloop：把「我想研究 X 对 Y 的影响」变成自动执行的研究循环（设计 → 执行 → 分析 → 下一轮）