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:
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆459Updated last year
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Sequential Monte Carlo in python☆468Updated 3 weeks ago
- Gaussian process modelling in Python☆224Updated 9 months ago
- Regression datasets from the UCI repository with standardized test-train splits.☆48Updated 3 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- PyBNesian is a Python package that implements Bayesian networks.☆47Updated 2 months ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Multi-Output Gaussian Process Toolkit☆176Updated 4 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 11 months ago
- ☆154Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆452Updated last month
- Bayesian active learning with EPIG data acquisition☆34Updated last month
- Gaussian processes in JAX and Flax.☆540Updated this week
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 7 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆237Updated last year
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- Laplace approximations for Deep Learning.☆518Updated 5 months ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆562Updated 4 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 3 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆542Updated last year
- Structured Neural Networks☆15Updated last year
- Automated Scalable Bayesian Inference☆130Updated 3 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆461Updated 5 months ago
- ☆14Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆781Updated 3 months ago