juho-lee / bnpLinks
Pytorch implementation of neural processes and variants
☆29Updated 11 months ago
Alternatives and similar repositories for bnp
Users that are interested in bnp are comparing it to the libraries listed below
Sorting:
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 5 years ago
- [ICLR'22] Multi-Task Neural Processes☆8Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 9 months ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- ☆54Updated 11 months ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 4 months ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- ☆16Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- ☆24Updated 4 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- ☆21Updated 3 years ago