mbilos / stribor
Library for normalizing flows and neural flows.
☆24Updated 2 years ago
Alternatives and similar repositories for stribor:
Users that are interested in stribor are comparing it to the libraries listed below
- Stochastic Normalizing Flows☆76Updated 3 years ago
- ☆52Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Normalizing Flows using JAX☆83Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Matrix-free linear algebra in JAX.☆116Updated 3 months ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆28Updated 6 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆28Updated last month
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 3 years ago
- Riemannian Optimization Using JAX☆48Updated last year
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated 10 months ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆57Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- orbital MCMC☆10Updated 3 years ago
- Code for Gaussian Score Matching Variational Inference☆33Updated last month
- Implementation of Action Matching☆41Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Multiplicative Normalizing Flows in PyTorch.☆24Updated last week