1179 Open source projects that are alternatives of or similar to Scikit Optimize

Automated Machine Learning with scikit-learn

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

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

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

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

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Large scale and asynchronous Hyperparameter Optimization at your fingertip.

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Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Hyperparameter optimization in Julia.

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Easy Hyper Parameter Optimization with mlr and mlrMBO.

DFO-GN: Derivative-Free Optimization using Gauss-Newton

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

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AutoGluon: AutoML for Text, Image, and Tabular Data

Simulation framework for nonsmooth dynamical systems

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Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D

An automatic ML model optimization tool.

a distributed Hyperband implementation on Steroids

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Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

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Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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Determined: Deep Learning Training Platform

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Atomistic Spin Simulation Framework

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A toolset for black-box hyperparameter optimisation.

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.