#计算机科学#A Hyperparameter Tuning Library for Keras
Hyperparameter Tuning with Python
#计算机科学#Parallel Hyperparameter Tuning in Python
#计算机科学#Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
#计算机科学#ML hyperparameters tuning and features selection, using evolutionary algorithms.
#计算机科学#Gradient based Hyperparameter Tuning library in PyTorch
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
#计算机科学#A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
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.
Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
#计算机科学#[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
#计算机科学#A hyperparameter optimization framework
#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.
Bayesian Optimization and Grid Search for xgboost/lightgbm
Hyperparameter optimization in Julia.
#计算机科学#Hyperparameter Experiments with TensorFlow and Keras
Hyperparameter Search for AllenNLP
#计算机科学#Automatic architecture search and hyperparameter optimization for PyTorch