251 Open source projects that are alternatives of or similar to maggy

A fully decentralized hyperparameter optimization framework

Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020

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Python automated machine learning framework.

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Python code for bayesian optimization using Gaussian processes

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Sberbank Data Science Jorney Auto-ML competition

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Scalable, structured, dynamically-scheduled hyperparameter optimization.

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基于Tensorflow2开发的优秀扩展包及项目

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

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

Asynchronous Distributed Hyperparameter Optimization.

Hyperparameter optimization for PyTorch.

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

A curated list of awesome Distributed Deep Learning resources.

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Toolbox for Bayesian Optimization and Model-Based Optimization in R

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

Automated Time Series Forecasting

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define m…

Elo ratings for global black box derivative-free optimizers

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Easy Hyper Parameter Optimization with mlr and mlrMBO.

Yes, it's a camel case.

Python library for Bayesian hyper-parameters optimization

Automatic machine learning for tabular data. ⚡🔥⚡

Polyaxon Core Client & CLI to streamline MLOps

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

Hyperparameter optimization in Julia.

🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.

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Python library for CMA Evolution Strategy.

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