hyper-parameter optimization directly from code

Tuner Implementation of Freeze-Thaw Bayesian Optimization

Use NLP techniques to improve baseline model performance of a Question Answering problem

A deployed machine learning model that has the capability to automatically classify the incoming disaster messages into related 36 categories. Project developed as a part of Udacity's Data Science Nanodegree program.

All your Data Science Experiments in one place

Metalearning for Hyperparameter Optimization

Distributed hyperparameter optimization made easy

Code for optimizing hyperparameters of Scikit-learn models

A library to build and run HyperOpt Hyper Parameter Optimization Schemes

Celestial AutoML Python client

hyperparameter optimization across a powerful array of machine learning libraries, including Keras, Scikit-Learn, XGBoost, LightGBM, CatBoost, and RGF.

Add the Grid Search functionality to search for optimal hyperparameters while fine-tuning the model. Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images).

Convenience package for optimizing hyperparameters/evaluating a model for Time Series forecasting.

Explore credit card approval prediction through data analysis and machine learning. Preprocess data, train logistic regression models, and optimize hyperparameters. Learn data preprocessing, feature engineering, model training, and evaluation. Dive into the world of machine learning with Python and popular libraries.

Nathan Rumsey's junior year International Science and Engineering Fair (ISEF) Project for the 2019-2020 school year.

My project for two advanced training courses about machine learning and neural networks at educx (https://educx.de/).

A naive sklearn-driven script to learn the best parameters for the MNIST database

Repository for data analysis and machine learning use case

A data stream clusterer and hyper parameter optimizer using microservices.

Imbalanced classification with scikit-learn and PyTorch Lightning.