swing-research / trumpetsLinks
Official repo for Trumpets: Injective Flows for Inference and Inverse Problems
☆13Updated 4 years ago
Alternatives and similar repositories for trumpets
Users that are interested in trumpets are comparing it to the libraries listed below
Sorting:
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 3 years ago
- ☆21Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Optimizing neural networks via an inverse scale space flow.☆16Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 4 years ago
- Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"☆21Updated 5 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- ☆24Updated 3 years ago
- ☆20Updated 2 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 3 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Official repo for "Learning the geometry of wave-based imaging"☆12Updated 4 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆51Updated 3 months ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 5 months ago
- ☆11Updated 4 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 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
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- ☆24Updated 4 years ago
- Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".☆20Updated last year