mossjacob / alfiLinks
☆11Updated last year
Alternatives and similar repositories for alfi
Users that are interested in alfi are comparing it to the libraries listed below
Sorting:
- Gaussian process modelling in Python☆223Updated 6 months ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 8 months ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- ☆152Updated 2 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆47Updated 2 years ago
- Continual Gaussian Processes☆32Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆450Updated 9 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆220Updated 8 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆88Updated 4 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- Deep neural network kernel for Gaussian process☆207Updated 4 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated last week
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆141Updated 2 years ago
- IVON optimizer for neural networks based on variational learning.☆68Updated 7 months ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- A non-parametric Bayesian approach to Hidden Markov Models☆88Updated 2 years ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago