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An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Auto Sklearn ⭐ 7,262

Automated Machine Learning with scikit-learn

Skypilot ⭐ 4,975

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

Scikit Optimize ⭐ 2,700

Sequential model-based optimization with a `scipy.optimize` interface

Forecasting ⭐ 2,540

Time Series Forecasting Best Practices & Examples

Rl Baselines3 Zoo ⭐ 1,640

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Talos ⭐ 1,596

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Xcessiv ⭐ 1,232

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Vizier ⭐ 1,142

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Rl Baselines Zoo ⭐ 1,025

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

EvalML is an AutoML library written in python.

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Neuraxle ⭐ 533

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.

Hyperband ⭐ 515

Tuning hyperparams fast with Hyperband

Human-explainable AI.

Tune Sklearn ⭐ 461

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

Syne Tune ⭐ 342

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Library for Semi-Automated Data Science

Library for automatic retraining and continual learning

Hypernets ⭐ 256

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Auptimizer ⭐ 195

An automatic ML model optimization tool.

Sentence Classification ⭐ 180

Sentence Classifications with Neural Networks

Pyaudioprocessing ⭐ 175

Audio feature extraction and classification

Automl_alex ⭐ 171

State-of-the art Automated Machine Learning python library for Tabular Data

The Data Science Workshop ⭐ 156

A New, Interactive Approach to Learning Data Science

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

Metadata store for Production ML

Distribution transparent Machine Learning experiments on Apache Spark

Hyperopt Keras Cnn Cifar 100 ⭐ 87

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Black box hyperparameter optimization made easy.

Mlprimitives ⭐ 67

Primitives for machine learning and data science.

Pre-trained Gaussian processes for Bayesian optimization

Open Box ⭐ 64

Generalized and Efficient Blackbox Optimization System.

Clsurvey ⭐ 61

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Mindware ⭐ 54

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

Scikit Hyperband ⭐ 46

A scikit-learn compatible implementation of hyperband

An abstraction layer for parameter tuning

Estimation of Distribution algorithms Python package

Wandb Offline Sync Hook ⭐ 26

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

Auto Surprise ⭐ 25

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

Machine Learning Tool Box

Hyperparameter search for AllenNLP - powered by Ray TUNE

Propulate ⭐ 24

Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Differential Privacy Bayesian Optimization ⭐ 22

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Cerebro System ⭐ 18

Data System for Optimized Deep Learning Model Selection

Naturalselection ⭐ 16

A general-purpose pythonic genetic algorithm.

Hpbandster Sklearn ⭐ 15

A scikit-learn wrapper for HpBandSter hyper parameter search.

Xgboost Lightgbm Hyperparameter Tuning ⭐ 14

Bayesian Optimization and Grid Search for xgboost/lightgbm

Nlpboost ⭐ 14

Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.

Hypertune ⭐ 12

Hyperparameter tuning using Particle Swarm Optimization and parallel computation which outperforms current approaches. V0.1 Beta

python experiment management toolset

Hypernomad ⭐ 10

A library for the hyperparameter optimization of deep neural networks

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Volkstuner ⭐ 9

An easy to use hyperparameter tuner

Prediction Of Solar Radiation ⭐ 9

Utilizing an Artificial Neural Network (ANN) based on Hyperparameter tuning, a new solution for Solar Radiation is approached.

Pytorch Rnn Tutorial ⭐ 9

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

zero-code hyperparameters optimization framework

Py Hyperpy ⭐ 8

HyperaPy: An automatic hyperparameter optimization framework ⚡🚀

Data Science Portfolio ⭐ 7

Data Science Portfolio created for academic and personal projects.

Hyperparameter Tuning In Matlab Using Experiment Manager And Tensorflow ⭐ 7

This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.

Neuro Evolution ⭐ 7

Wrapper for neural evolution approach for hyperparameter tuning

Semi-automated machine learning pipelines

Optimization algorithms for Machine Learning problems like Hyperparameter tuning and Ensembling.

Scalable Hpo Pybay ⭐ 5

This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS

Personal Bank Loan Modeling Classification Analysis ⭐ 5

Supervised Machine Learning Analysis Using Classification Models

Machine Learning Toolbox 2

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