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
- code submission to NeurIPS2019☆13Updated last year
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- ☆180Updated 5 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- ☆42Updated 5 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Updated 2 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- ☆22Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- ☆37Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018☆14Updated 5 years ago
- ☆80Updated 3 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Discrete Normalizing Flows implemented in PyTorch☆112Updated 3 years ago
- ☆68Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- We got a stew going!☆27Updated last year
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago