google-deepmind / annealed_flow_transport
☆49Updated 2 years ago
Alternatives and similar repositories for annealed_flow_transport:
Users that are interested in annealed_flow_transport are comparing it to the libraries listed below
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Code for Gaussian Score Matching Variational Inference☆32Updated 3 weeks ago
- Normalizing Flows using JAX☆83Updated last year
- Implementation of Action Matching☆39Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Stainless neural networks in JAX☆32Updated last week
- A generic interface for linear algebra backends☆71Updated 3 weeks ago
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 3 years ago
- Sequential Neural Likelihood☆39Updated 5 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Normalizing Flows with a resampled base distribution☆45Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- Matrix-free linear algebra in JAX.☆116Updated 2 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆55Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆30Updated 3 months ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated last month
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 11 months ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆19Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago