google / edward2Links
A simple probabilistic programming language.
☆697Updated 3 months ago
Alternatives and similar repositories for edward2
Users that are interested in edward2 are comparing it to the libraries listed below
Sorting:
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,512Updated last week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆450Updated 9 months ago
- ☆470Updated last month
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆464Updated last year
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,345Updated last year
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆628Updated 2 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆458Updated last month
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆587Updated 5 months ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆574Updated 3 years ago
- Functional tensors for probabilistic programming☆241Updated last year
- ☆241Updated 2 years ago
- Laplace approximations for Deep Learning.☆508Updated 2 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,477Updated 2 weeks ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- Papers for Bayesian-NN☆324Updated 5 years ago
- A Library for Uncertainty Quantification.☆916Updated last month
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆598Updated 2 months ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆643Updated 4 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- PyTorch implementation of bayesian neural network [torchbnn]☆534Updated 10 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,720Updated 3 months ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆960Updated last year
- ☆578Updated last month
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,654Updated 5 months ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆655Updated 2 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,897Updated 3 months ago