dme65

David Eriksson's repositories

pySOT

Surrogate Optimization Toolbox for Python

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SOT

C++11 implementation of surrogate based optimization algorithms

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botorch

Bayesian optimization in PyTorch

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Ensemble-Bayesian-Optimization

Code repository for Ensemble Bayesian Optimization

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gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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trieste

A Bayesian optimization toolbox built on TensorFlow

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Ax

Adaptive Experimentation Platform

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bayesmark

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

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Casmopolitan

[ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces

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cornell-ssw.github.io

Home page of the Scientific Software Club at Cornell

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ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

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ludwig-docs

Ludwig's documentation

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marp

Markdown presentation writer, powered by Electron.

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matlab_wrapper

MATLAB wrapper for Python

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POAP

Plumbing for Optimization with Asynchronous Parallelism

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pyro

Deep universal probabilistic programming with Python and PyTorch

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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Spearmint

Spearmint Bayesian optimization codebase

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ssw_matlab

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ssw_sphinx

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webpage

My Cornell webpage

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