ELIFE-ASU / INNLabLinks
A python/pytorch package for invertible neural networks
☆68Updated 2 years ago
Alternatives and similar repositories for INNLab
Users that are interested in INNLab 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 PyTorch Implementation of Density Estimation Using Real NVP☆78Updated 4 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆103Updated this week
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆39Updated 3 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆49Updated 4 months ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Implicit^2: Implicit model for implicit neural representations☆29Updated 3 years ago
- A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm☆41Updated last year
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆101Updated 5 years ago
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging☆38Updated 3 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- Experiments for Neural Flows paper☆99Updated 3 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆272Updated 3 years ago
- ☆63Updated 2 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆188Updated 9 months ago
- ☆22Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆183Updated 3 years ago
- ☆31Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆52Updated 3 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆87Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.☆82Updated 5 years ago
- ☆32Updated 3 years ago
- L1-regularized least squares with PyTorch☆71Updated 2 years ago