desResLab / LINFA
A Python library for variational inference with normalizing flow and annealing
☆15Updated 3 months ago
Alternatives and similar repositories for LINFA:
Users that are interested in LINFA are comparing it to the libraries listed below
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- ☆24Updated last year
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆17Updated last year
- Normalizing Flows using JAX☆82Updated last year
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- ☆49Updated last year
- A pytorch version of hamiltonian monte carlo☆13Updated 5 years ago
- Code for Gaussian Score Matching Variational Inference☆30Updated 3 months ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 7 months ago
- ☆15Updated 4 years ago
- Implementation of papers in 101 lines of code.☆18Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆19Updated 2 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆43Updated 2 weeks ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Conditional density estimation with neural networks☆30Updated last week
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆122Updated 5 months ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆14Updated 3 months ago
- Gradient-informed particle MCMC methods☆11Updated last year
- ☆16Updated 2 years ago
- ☆20Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- Riemannian Optimization Using JAX☆48Updated last year