vislearn / inn_toy_data
Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods
☆12Updated 4 years ago
Alternatives and similar repositories for inn_toy_data:
Users that are interested in inn_toy_data are comparing it to the libraries listed below
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆94Updated 5 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- ☆22Updated 10 months ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆43Updated last year
- ☆19Updated 2 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆17Updated 2 years ago
- Featurized Density Ratio Estimation