google / edward2Links
A simple probabilistic programming language.
☆699Updated last month
Alternatives and similar repositories for edward2
Users that are interested in edward2 are comparing it to the libraries listed below
Sorting:
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆454Updated 11 months ago
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- Laplace approximations for Deep Learning.☆515Updated 3 months ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆470Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,518Updated last month
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆389Updated last year
- ☆241Updated 2 years ago
- ☆470Updated 3 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,356Updated last year
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Functional tensors for probabilistic programming☆242Updated last year
- ☆309Updated 4 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆968Updated last year
- Statistical Rethinking (2nd ed.) with NumPyro☆461Updated 3 months ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 7 months ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,504Updated 2 weeks ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆659Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆627Updated 3 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆611Updated 3 months ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆574Updated 3 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,664Updated 7 months ago
- PyTorch implementation of bayesian neural network [torchbnn]☆537Updated last year
- Papers for Bayesian-NN☆325Updated 6 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆313Updated 6 years ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆648Updated 4 years ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆937Updated 3 months ago