mlosch / pytorch-statsLinks
☆15Updated 8 years ago
Alternatives and similar repositories for pytorch-stats
Users that are interested in pytorch-stats are comparing it to the libraries listed below
Sorting:
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆89Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- ☆172Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆174Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆132Updated last year
- ☆105Updated 5 years ago
- ☆59Updated 7 years ago
- Example codes for the book Applied Stochastic Differential Equations☆206Updated 3 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆125Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Manifold-learning flows (ℳ-flows)☆233Updated 5 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 7 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆96Updated 4 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 5 years ago
- A manifold optimization library for deep learning☆254Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆244Updated 7 years ago
- Pytorch implementation of Neural Processes for functions and images☆236Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆48Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- ☆252Updated 3 years ago
- Masked Autoregressive Flow☆219Updated last year
- Python and MATLAB code for Stein Variational sampling methods☆27Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago