automl / TransformersCanDoBayesianInferenceLinks
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
☆240Updated last year
Alternatives and similar repositories for TransformersCanDoBayesianInference
Users that are interested in TransformersCanDoBayesianInference are comparing it to the libraries listed below
Sorting:
- Our maintained PFN repository. Come here to train SOTA PFNs.☆121Updated 2 months ago
- Simple (and cheap!) neural network uncertainty estimation☆77Updated last month
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- ☆155Updated 3 years ago
- Laplace approximations for Deep Learning.☆528Updated 7 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 9 months ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆88Updated last year
- ☆251Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- ☆312Updated 9 months ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆35Updated 2 months ago
- Conformalized Quantile Regression☆295Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆465Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆51Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 6 months ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆220Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated 3 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆93Updated 3 years ago
- Experiments for Neural Flows paper☆99Updated 4 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆638Updated 7 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆49Updated 3 years ago