ELIFE-ASU / INNLabLinks
A python/pytorch package for invertible neural networks
☆71Updated 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☆82Updated 4 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆109Updated last week
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆41Updated 4 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Updated 4 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆148Updated 5 years ago
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆188Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆50Updated 6 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Updated 3 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 years ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆102Updated 5 years ago
- A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm☆40Updated last year
- ☆26Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆192Updated 10 months ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆61Updated 3 years ago
- ☆24Updated 3 years ago
- Experiments for Neural Flows paper☆100Updated 4 years ago
- Modern Fixed Point Systems using Pytorch☆125Updated 2 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆52Updated 3 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆275Updated 3 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated 2 years ago
- PyTorch implementation of Variational Diffusion Models.☆103Updated last year
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆119Updated 2 years ago
- Implicit^2: Implicit model for implicit neural representations☆29Updated 4 years ago
- ☆198Updated last year
- ☆33Updated 3 years ago
- [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations☆256Updated last year