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MLBazaar
mlblocks

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

6K 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.

4K 12 6
mduszyk
paramflow

A lightweight Python library for hyperparameter and configuration management

2K 0 0
michalwols
hp

A python library for managing Hyperparameters

617 5 2
guybedo
pyminos

Deep learning, architecture and hyper parameters search with genetic algorithms

564 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.

496 614 63
MERTULAS
learned

Large Scale Machine/Deep Learning library for Python

485 2 1
tjstretchalot
ignite-simple

Easily train pytorch models with automatic LR and BS tuning

455 2 1
automl
deepcave

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

417 96 14
Minyus
optkeras

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

337 29 3
seba-1511
randopt

Streamlined machine learning experiment management.

306 108 9
jakebian
alkanet-picard

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

241 52 5
tobegit3hub
advisor-clients

Open-source implementation of Google Vizier for hyper parameters tuning

227 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.

224 20 2
tobegit3hub
advisor

Open-source implementation of Google Vizier for hyper parameters tuning

222 2K 254
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.

144 4 0
ctallec
argload

Argparse, easy reloading of command line arguments

126 6 2
ksachdeva
scikit-nni

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

106 25 3
NicolasMICAUX
autohparams

Automatically create a config of hyper-parameters from global variables

57 1 0
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