cornellius-gp / gpytorchLinks
A highly efficient implementation of Gaussian Processes in PyTorch
☆3,799Updated last week
Alternatives and similar repositories for gpytorch
Users that are interested in gpytorch are comparing it to the libraries listed below
Sorting:
- Bayesian optimization in PyTorch☆3,410Updated this week
- Gaussian processes in TensorFlow☆1,894Updated 5 months ago
- Gaussian processes framework in python☆2,129Updated 5 months ago
- A Python toolbox for performing gradient-free optimization☆4,125Updated 5 months ago
- Notebooks about Bayesian methods for machine learning☆1,901Updated last year
- Fast and Easy Infinite Neural Networks in Python☆2,362Updated last year
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,941Updated 2 years ago
- Differentiable convex optimization layers☆2,012Updated this week
- Adaptive Experimentation Platform☆2,625Updated this week
- Gaussian Process Optimization using GPy☆950Updated 2 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,552Updated last week
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,542Updated last year
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,956Updated 8 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,550Updated 3 weeks ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆980Updated 2 years ago
- TensorLy: Tensor Learning in Python.☆1,643Updated last week
- torch-optimizer -- collection of optimizers for Pytorch☆3,153Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,538Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆8,920Updated 4 months ago
- A simple probabilistic programming language.☆702Updated 2 months ago
- An open source python library for scalable Bayesian optimisation.☆893Updated 2 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆834Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆893Updated last year
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,680Updated 10 months ago
- POT : Python Optimal Transport☆2,687Updated 3 weeks ago
- 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
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,394Updated 3 weeks ago
- Python implementation of CMA-ES☆1,254Updated 2 months ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,236Updated 7 months ago