Alternatives and similar repositories for edward2

Users that are interested in edward2 are comparing it to the libraries listed below

• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆464Updated last year
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆672Updated 2 years ago
• google-research / robustness_metrics
  ☆471Updated last month
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆474Updated 2 years ago
• izmailovpavel / understandingbdl
  ☆251Updated 2 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆527Updated 6 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆599Updated 10 months ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆390Updated last year
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,548Updated 2 weeks ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆244Updated 2 years ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆244Updated 5 years ago
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆326Updated 6 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆893Updated last year
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,362Updated last year
• paraschopra / bayesian-neural-network-mnist
  Bayesian neural network using Pyro and PyTorch on MNIST dataset
  ☆315Updated 6 years ago
• AlaaLab / deep-learning-uncertainty
  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…
  ☆632Updated 3 years ago
• google-research / tensorflow_constrained_optimization
  ☆308Updated 4 years ago
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,680Updated 10 months ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,005Updated 4 years ago
• piEsposito / blitz-bayesian-deep-learning
  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
  ☆979Updated 2 years ago
• yaringal / DropoutUncertaintyExps
  Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
  ☆574Updated 3 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,893Updated 5 months ago
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆679Updated 3 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆464Updated 6 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆701Updated 3 months ago
• google-deepmind / distrax
  ☆605Updated 2 weeks ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆833Updated 5 years ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆612Updated last year
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆131Updated 3 years ago
• google / objax
  ☆775Updated last year