cornellius-gp / gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
☆3,665Updated 2 weeks ago
Alternatives and similar repositories for gpytorch:
Users that are interested in gpytorch are comparing it to the libraries listed below
- Bayesian optimization in PyTorch☆3,206Updated this week
- Gaussian processes in TensorFlow☆1,866Updated last month
- Gaussian processes framework in python☆2,082Updated 2 months ago
- Gaussian Process Optimization using GPy☆942Updated 2 years ago
- Notebooks about Bayesian methods for machine learning☆1,852Updated last year
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,866Updated 2 weeks ago
- Fast and Easy Infinite Neural Networks in Python☆2,325Updated last year
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,884Updated last year
- Differentiable convex optimization layers☆1,891Updated 3 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,495Updated last month
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,415Updated last week
- Adaptive Experimentation Platform☆2,448Updated this week
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,491Updated 11 months ago
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆617Updated last month
- Sequential model-based optimization with a `scipy.optimize` interface☆2,763Updated last year
- A simple probabilistic programming language.☆690Updated 2 weeks ago
- JAX-based neural network library☆2,992Updated last week
- A Python toolbox for performing gradient-free optimization☆4,015Updated last week
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,456Updated 10 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,092Updated last year
- Spearmint Bayesian optimization codebase☆1,555Updated 5 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆948Updated last year
- Efficiently computes derivatives of NumPy code.☆7,200Updated this week
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆993Updated 4 years ago
- A Python implementation of global optimization with gaussian processes.☆8,133Updated last week
- Probabilistic Torch is library for deep generative models that extends PyTorch☆886Updated 10 months ago
- TensorLy: Tensor Learning in Python.☆1,603Updated 3 weeks ago
- An open source python library for scalable Bayesian optimisation.☆873Updated last year
- Constrained optimization toolkit for PyTorch☆670Updated 3 years ago
- Deep universal probabilistic programming with Python and PyTorch☆8,693Updated last week