#计算机科学#Automatic architecture search and hyperparameter optimization for PyTorch
Hyperparameter Search for AllenNLP
#计算机科学#Python library to easily log experiments and parallelize hyperparameter search for neural networks
Automated Hyperparameter Search for Unity ML-Agents
#计算机科学#Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/
Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.
Automated Machine Learning with scikit-learn
#Awesome#A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hype...
#计算机科学#DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
#计算机科学#A hyperparameter optimization framework
#计算机科学#A Hyperparameter Tuning Library for Keras
Hyperparameter optimization in Julia.
#计算机科学#Hyperparameter Experiments with TensorFlow and Keras
Hyperparameter Tuning with Python
#计算机科学#Parallel Hyperparameter Tuning in Python
I Evolve an evolutionarry algorithm to optimize a sklearn MLP on the breast cancer dataset
Collection of hyperparameter optimization benchmark problems
#计算机科学#Gradient based Hyperparameter Tuning library in PyTorch
Bayesian Optimization Hyperband Hyperparameter Optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization