Stars
Bayesian optimization in PyTorch
SAASBO: a package for high-dimensional bayesian optimization
A highly efficient implementation of Gaussian Processes in PyTorch
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
A community repository for benchmarking Bayesian methods
Low-code framework for building custom LLMs, neural networks, and other AI models
Companion code release to "Efficient Rollout Strategies for Bayesian Optimization", published in UAI 2020
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Scalable Gaussian Process Regression with Derivatives
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Plumbing for Optimization with Asynchronous Parallelism
Free continuous integration platform for GitHub projects.
Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.