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Hyperparameters Python Packages

Python packages with the GitHub topic hyperparameters. Sorted by relevance, with stars and monthly downloads.
MLBazaar
mlblocks

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

7K 123 33
rodrigo-arenas
sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

5K 359 91
neptune-ai
neptune-optuna

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

5K 12 6
mduszyk
paramflow

A lightweight Python library for hyperparameter and configuration management

2K 0 0
michalwols
hp

A python library for managing Hyperparameters

616 5 2
guybedo
pyminos

Deep learning, architecture and hyper parameters search with genetic algorithms

604 53 10
Neuraxio
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.

538 614 63
tjstretchalot
ignite-simple

Easily train pytorch models with automatic LR and BS tuning

484 2 1
MERTULAS
learned

Large Scale Machine/Deep Learning library for Python

481 2 1
automl
deepcave

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

430 96 14
Minyus
optkeras

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

359 29 3
seba-1511
randopt

Streamlined machine learning experiment management.

312 108 9
jakebian
alkanet-picard

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

254 52 5
tobegit3hub
advisor

Open-source implementation of Google Vizier for hyper parameters tuning

233 2K 254
tobegit3hub
advisor-clients

Open-source implementation of Google Vizier for hyper parameters tuning

231 2K 254
RaduBolbo
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.

225 20 2
diputs-sudo
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.

152 4 0
ctallec
argload

Argparse, easy reloading of command line arguments

132 6 2
ksachdeva
scikit-nni

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

108 25 3
NicolasMICAUX
autohparams

Automatically create a config of hyper-parameters from global variables

56 1 0
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