Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
☆21Feb 11, 2021Updated 5 years ago
Alternatives and similar repositories for HINT
Users that are interested in HINT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods☆13Feb 11, 2021Updated 5 years ago
- Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"☆21Jul 9, 2020Updated 6 years ago
- ☆11Jul 8, 2021Updated 5 years ago
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆20Aug 29, 2018Updated 7 years ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆107Feb 19, 2020Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆11Jul 1, 2021Updated 5 years ago
- Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging☆39Apr 28, 2022Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆32Sep 16, 2021Updated 4 years ago
- Normalising flows implemented using nflows☆26Dec 12, 2025Updated 7 months ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆13May 26, 2026Updated 2 months ago
- ☆22May 28, 2024Updated 2 years ago
- PyLlama enables to calculate the reflection and transmission spectra of an arbitrary multilayer stack whose layers are made of dispersive…☆23Aug 15, 2022Updated 3 years ago
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago
- Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)☆44Apr 18, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Mar 25, 2020Updated 6 years ago
- Implemenations of PAE in pytorch☆12Dec 20, 2022Updated 3 years ago
- Implementations of normalizing flows using python and tensorflow☆25Dec 3, 2024Updated last year
- Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital P…☆46Jul 22, 2025Updated last year
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆53Sep 15, 2022Updated 3 years ago
- Repository accompanying GALAH DR3 (Buder et al., 2021): https://ui.adsabs.harvard.edu/abs/2021MNRAS.506..150B☆15Mar 18, 2021Updated 5 years ago
- ☆41Aug 15, 2018Updated 7 years ago
- ☆21Nov 29, 2022Updated 3 years ago
- Active Learning on Convolutional Neural Network☆17Nov 2, 2016Updated 9 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆14Apr 28, 2023Updated 3 years ago
- Analyzing Conditional Adversarial Networks to solve image recovery problems like shadow recovery, denoising and deblurring - CVIP 2019☆10Jun 9, 2020Updated 6 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆82Nov 23, 2022Updated 3 years ago
- ☆12Dec 9, 2020Updated 5 years ago
- Normalizing flows in PyTorch☆1,020Dec 27, 2024Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated last year
- Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https:…☆23Feb 22, 2025Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆24Nov 8, 2022Updated 3 years ago
- Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks☆56Jan 28, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆12Nov 2, 2021Updated 4 years ago
- Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings☆10Jun 6, 2024Updated 2 years ago
- ☆12Nov 12, 2018Updated 7 years ago
- Docker image for NS-3 Network Simulator v.3.30☆13Apr 11, 2021Updated 5 years ago
- ☆152Mar 28, 2022Updated 4 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- ☆11Oct 25, 2023Updated 2 years ago