Search Packages

mlblocks

A library for composing end-to-end tunable machine learning pipelines.

sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

neptune-optuna

🚀 Optuna visualization dashboard that lets you log and monitor hyperparameter sweep live.

paramflow

A lightweight Python library for hyperparameter and configuration management

hp

A python library for managing Hyperparameters

pyminos

Deep learning, architecture and hyper parameters search with genetic algorithms

neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

learned

Large Scale Machine/Deep Learning library for Python

ignite-simple

Easily train pytorch models with automatic LR and BS tuning

deepcave

An interactive framework to visualize and analyze your AutoML process in real-time.

optkeras

OptKeras: Wrapper of Keras and Optuna to optimize hyperparameters of Deep Learning.

randopt

Streamlined machine learning experiment management.

alkanet-picard

Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.

advisor-clients

Open-source implementation of Google Vizier for hyper parameters tuning

video2panorama

video2panorama is a Python-based tool designed to transform video sequences into panoramic images. It automates the stitching process by analyzing frames from input video files and producing panoramic outputs.

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

hyperassist

A modular tool for analyzing machine learning training logs and hyperparameters. It helps developers and researchers gain insight into training dynamics, surface anomalies, and improve model performance through informed tuning.

argload

Argparse, easy reloading of command line arguments

scikit-nni

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

autohparams

Automatically create a config of hyper-parameters from global variables