ELIFE-ASU / INNLab
A python/pytorch package for invertible neural networks
☆64Updated last year
Alternatives and similar repositories for INNLab:
Users that are interested in INNLab are comparing it to the libraries listed below
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆94Updated 5 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆69Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆99Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆127Updated 7 months ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆35Updated 3 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- Experiments for Neural Flows paper☆94Updated 3 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆144Updated 5 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 10 months ago
- A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm☆35Updated last year
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆106Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆275Updated last year
- ☆21Updated 2 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆118Updated 3 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Implementation of Real NVP in PyTorch☆230Updated 5 years ago
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- Convex potential flows☆83Updated 3 years ago
- Variational Autoencoder (VAE) with Normalizing Flows☆43Updated 5 months ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆118Updated last year
- This repository contains code released by DiffEqML Research☆89Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 11 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- PyTorch implementation of realNVP☆85Updated 6 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆82Updated 3 years ago
- ☆138Updated last year