Massively Parallel Grid Parameter Search for scRNA-seq Analysis

Hyperparameter Optimization Using Sci-kit Optimization

Example of Neu.ro integration with NNI for hyperparameter tuning

A lightweight custom automl library.

Hyperparameter selection on machine learning models using Particle Swarm Optimization

Code written in Python 2.7 for experiment on SVM with RBF kernel on "Robust and Efficient Kernel Hyperparameter Paths with Guarantees".

MLCloudSearch presents tooling built to facilitate the use of Scikit-Learn and Tensorflow Keras Models. The name MLCloudSearch was inspired by the Machine Learning technique of searching for the best parameters to use in fitting a model, commonly referred to as Hyper-Parameter Search. Training can be done locally or on the Cloud.

Hyperparameter search algorithm

Machine Learning Term project of IOG5016 and IOG5018

Tree-of-Parzen-estimators hyperparameter optimization

Project presented in the parallel and distributed computing course of the Graduate Program in Computer Science at CEFET-RJ (2018.3)

A specialized repository for fitting the Vikhlinin model to galaxy cluster density profiles.

In this project, I use optuna library to perform a hyperparameter search for Professor Wojciech Broniowski's implementation of Ant Colony Optimization (ACO) algorithm. I use the optuna library to optimize the hyperparameters and improve the performance of the algorithm.

The notebook shows how machine learning tools and algorithms (scikit-learn, XGBoost, LightGBM) work in practice.

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

In this project, I use optuna library to perform a hyperparameter search for Professor Wojciech Broniowski's implementation of Genetic Algorythm algorithm, as well as comparing this algorythm to AntColonyOptimization. I use the optuna library to optimize the hyperparameters and improve the performance of the algorithm.

This repository is the code basis for the paper intitled "Unlocking Neural Networks: Hyperparameter Analysis"

This repository is the code basis for the paper intitled "Exploring the Intricacies of Neural Network Optimization"

Easy & Quick : Docker services are using hyperopt in parallel on top of Mongodb

A wrapper for searching over Neural network architectures, built on top of MXNet framework, in particular gluon.