ameroyer / glow_jax
An implementation of the Glow generative model in jax and flax
☆8Updated 4 years ago
Alternatives and similar repositories for glow_jax:
Users that are interested in glow_jax are comparing it to the libraries listed below
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Normalizing Flows using JAX☆83Updated last year
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- We got a stew going!☆27Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- ☆53Updated 9 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- ☆28Updated 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
- Normalizing Flows in Jax☆107Updated 4 years ago
- ☆22Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Convex potential flows☆83Updated 3 years ago
- ☆27Updated 2 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Multiplicative Normalizing Flows in PyTorch.☆24Updated last month
- ☆17Updated 4 years ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- ☆15Updated 4 years ago
- ☆36Updated 2 years ago