Automatic architecture search and hyperparameter optimization for PyTorch
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Hyperparameter Search for AllenNLP
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Automated Hyperparameter Search for Unity ML-Agents
Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/
ES6 hyperparameters search for tfjs
Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.
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#A hyperparameter optimization framework
翻译 - 超参数优化框架
Automated Machine Learning on Kubernetes
A Hyperparameter Tuning Library for Keras
翻译 - 人类的超参数调整
Hyperparameter optimization in Julia.
Hyperparameter Tuning with Python
I Evolve an evolutionarry algorithm to optimize a sklearn MLP on the breast cancer dataset
Parallel Hyperparameter Tuning in Python
Hyperparameter Experiments with TensorFlow and Keras
翻译 - Keras模型的超参数优化
Collection of hyperparameter optimization benchmark problems
Gradient based Hyperparameter Tuning library in PyTorch
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms