138 Open source projects that are alternatives of or similar to autotune

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

DeepArchitect: Automatically Designing and Training Deep Architectures

🚀 A curated list of awesome web performance stuff 🚀

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Real-time Web Dashboard for Optuna.

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Streamlined machine learning experiment management.

Notes for Deep Learning Specialization Courses led by Andrew Ng.

A scikit-learn compatible implementation of hyperband

Bayesian Optimization using GPflow

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

Backend module for SmartSLA

Asynchronous Distributed Hyperparameter Optimization.

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

An automatic ML model optimization tool.

Scalable, structured, dynamically-scheduled hyperparameter optimization.

Time Series Cross-Validation -- an extension for scikit-learn

Machine Learning Tool Box

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

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

Distribution transparent Machine Learning experiments on Apache Spark

A general, modular, and programmable architecture search framework

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

Python code for bayesian optimization using Gaussian processes

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

Set model hyperparameters using deterministic, exact algorithms.

Library for Semi-Automated Data Science

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Polyaxon Core Client & CLI to streamline MLOps

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Examples for https://github.com/optuna/optuna

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Parallel Hyperparameter Tuning in Python

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

A simple, extensible library for developing AutoML systems

Hyperparameter optimization package of the mlr3 ecosystem

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

nanoDLP user interface

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

Calculate how much downtime should be permitted in your Service Level Agreement or Objective

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

Using Kafka-Python to illustrate a ML production pipeline

[UNMAINTAINED] Automated machine learning for analytics & production

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

A toolset for black-box hyperparameter optimisation.

Your local Flux surgeon

A fully decentralized hyperparameter optimization framework

Another repo for jamonapi.com which is primarily hosted on sourceforge

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

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

A Clojure machine learning library

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

A shell-friendly hyperparameter search tool inspired by Optuna

Unlock the full potential of your Zen-based APU with AMD APU Tuning Utility!

A general-purpose pythonic genetic algorithm.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.