jrmcornish / lgf
Pytorch implementation of Localised Generative Flows
☆11Updated 4 years ago
Alternatives and similar repositories for lgf:
Users that are interested in lgf are comparing it to the libraries listed below
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆37Updated 5 years ago
- ☆179Updated 5 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- ☆42Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆22Updated 4 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Updated 2 years ago
- Discrete Normalizing Flows implemented in PyTorch☆109Updated 3 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Normalizing Flows using JAX☆82Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 5 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆74Updated 7 months ago
- Understanding normalizing flows☆131Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 7 months ago
- ☆80Updated 3 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆66Updated 4 years ago
- ☆68Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year