TrentBrick / PyTorchDiscreteFlowsLinks
Discrete Normalizing Flows implemented in PyTorch
☆113Updated 3 years ago
Alternatives and similar repositories for PyTorchDiscreteFlows
Users that are interested in PyTorchDiscreteFlows are comparing it to the libraries listed below
Sorting:
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆57Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆280Updated last year
- Code for Neural Spline Flows paper☆279Updated 5 years ago
- ☆180Updated 6 years ago
- Masked Autoregressive Flow☆217Updated last year
- ☆68Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 5 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- ☆148Updated 3 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆83Updated 5 years ago
- ☆64Updated last year
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year