chenlin9 / Gaussianization_Flows
☆22Updated 4 years ago
Alternatives and similar repositories for Gaussianization_Flows:
Users that are interested in Gaussianization_Flows are comparing it to the libraries listed below
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 3 years ago
- ☆28Updated 2 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆50Updated 5 months ago
- We got a stew going!☆27Updated last year
- Official repo for Trumpets: Injective Flows for Inference and Inverse Problems☆13Updated 3 years ago
- ☆16Updated 2 years ago
- ☆20Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆14Updated 2 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated last year
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆22Updated 2 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- ☆32Updated 2 years ago
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆11Updated 4 years ago
- ☆67Updated 2 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆104Updated 3 years ago
- Learning Diffusion Priors from Observations by Expectation Maximization☆20Updated last month
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Updated 2 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆28Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆30Updated 2 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆141Updated 5 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆49Updated 2 years ago
- [ICML2022] Variational Wasserstein gradient flow☆18Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆52Updated last year
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 8 months ago