Alternatives and similar repositories for botorch

Users that are interested in botorch are comparing it to the libraries listed below

• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,800Updated this week
• facebook / Ax
  Adaptive Experimentation Platform
  ☆2,625Updated last week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,127Updated 5 months ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆950Updated 2 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,362Updated last year
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆2,012Updated last week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,803Updated last year
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,894Updated 6 months ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,129Updated 5 months ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,643Updated 2 weeks ago
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆893Updated 2 years ago
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,509Updated last year
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,204Updated last week
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆8,474Updated 2 months ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,901Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,135Updated last week
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆625Updated 3 years ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,552Updated last week
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,005Updated 4 years ago
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,122Updated 2 months ago
• google / gin-config
  Gin provides a lightweight configuration framework for Python
  ☆2,137Updated 2 months ago
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,153Updated last year
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,394Updated 3 weeks ago
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆639Updated last month
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,627Updated 3 years ago
• CMA-ES / pycma
  Python implementation of CMA-ES
  ☆1,256Updated 2 months ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,920Updated 4 months ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,539Updated 2 weeks ago
• google / edward2
  A simple probabilistic programming language.
  ☆702Updated 2 months ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,344Updated last month