desResLab / LINFA
A Python library for variational inference with normalizing flow and annealing
☆15Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for LINFA
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated last year
- Implementation of Action Matching for the Schrödinger equation☆22Updated last year
- ☆10Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- A pytorch version of hamiltonian monte carlo☆12Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆21Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- Probabilistic Solution of Differential Equations☆14Updated 2 years ago
- ☆15Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆11Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 3 years ago
- Modular Gaussian Processes☆15Updated 2 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- We got a stew going!☆27Updated last year
- ☆16Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆37Updated last year
- The ✨Magical✨ JAX ML Library.☆17Updated 6 months ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆38Updated 3 months ago
- ☆49Updated last year
- ☆15Updated 3 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆24Updated last year
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆50Updated 5 months ago
- orbital MCMC☆10Updated 3 years ago