Alternatives and similar repositories for gpytorch

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

• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,454Updated this week
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,901Updated 8 months ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,140Updated 7 months ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,912Updated last year
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,148Updated 8 months ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,371Updated last year
• facebook / Ax
  Adaptive Experimentation Platform
  ☆2,699Updated this week
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆2,048Updated this week
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,599Updated last week
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆948Updated 3 years ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,658Updated 2 months ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,553Updated last year
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆6,330Updated 10 months ago
• uncertainty-toolbox / uncertainty-toolbox
  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
  ☆1,976Updated 11 months ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,015Updated 5 years ago
• JavierAntoran / Bayesian-Neural-Networks
  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
  ☆1,952Updated 2 years ago
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,408Updated this week
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,705Updated last year
• piEsposito / blitz-bayesian-deep-learning
  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
  ☆978Updated 2 years ago
• kumar-shridhar / PyTorch-BayesianCNN
  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
  ☆1,562Updated last year
• PythonOT / POT
  POT : Python Optimal Transport
  ☆2,743Updated this week
• google / edward2
  A simple probabilistic programming language.
  ☆707Updated last month
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,161Updated last year
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,565Updated last week
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆644Updated this week
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆894Updated last year
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆8,543Updated last month
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆834Updated 5 years ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,629Updated 3 years ago
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆894Updated 2 years ago