BensonRen / BDIMNNALinks
☆22Updated last year
Alternatives and similar repositories for BDIMNNA
Users that are interested in BDIMNNA are comparing it to the libraries listed below
Sorting:
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆103Updated 5 years ago
- A python/pytorch package for invertible neural networks☆71Updated 2 years ago
- Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods☆12Updated 4 years ago
- Solving inverse problems using conditional invertible neural networks.☆33Updated 4 years ago
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆41Updated 4 years ago
- IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23☆12Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Updated 4 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- ☆11Updated 4 years ago
- ☆50Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆131Updated last year
- ☆55Updated 3 years ago
- [ICLR 2023] Interplay between the Attention and Electrical Impedance Tomography☆34Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆12Updated 5 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- ☆47Updated 5 years ago
- EIT-EBM☆19Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆34Updated 5 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Updated 5 years ago
- ☆20Updated 3 months ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago