chenlin9 / Gaussianization_FlowsLinks
☆21Updated 5 years ago
Alternatives and similar repositories for Gaussianization_Flows
Users that are interested in Gaussianization_Flows are comparing it to the libraries listed below
Sorting:
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Updated 4 years ago
- ☆28Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- ☆20Updated 3 years ago
- ☆14Updated 2 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- We got a stew going!☆27Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- ☆68Updated 3 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Convex potential flows☆84Updated 4 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 4 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated last year
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆32Updated last month
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- ☆54Updated last year
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Updated 4 years ago
- Regularized Neural ODEs (RNODE)☆83Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 2 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆57Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- ☆64Updated last year
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Updated 5 years ago