A Hyperparameter Tuning Library for Keras
翻译 - 人类的超参数调整
Parallel Hyperparameter Tuning in Python
Hyperparameter Tuning with Python
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Gradient based Hyperparameter Tuning library in PyTorch
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
#计算机科学#Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
翻译 - 确定：深度学习培训平台
Automated Machine Learning on Kubernetes
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.
翻译 - 一种自动确定簇数并且无需超参数微调即可工作的簇算法。
Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
翻译 - [MSG-GAN]任何人都可以GAN！高度稳定和强大的体系结构。几乎不需要或不需要超参数调整。
#计算机科学#A hyperparameter optimization framework
翻译 - 超参数优化框架
Bayesian Optimization and Grid Search for xgboost/lightgbm
Hyperparameter optimization in Julia.
Hyperparameter Search for AllenNLP
Hyperparameter Experiments with TensorFlow and Keras
翻译 - Keras模型的超参数优化