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
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆145Updated 5 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆35Updated 3 years ago
- Experiments for Neural Flows paper☆94Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆127Updated 7 months ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆99Updated 4 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆90Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 7 months ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆106Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- ☆21Updated 2 years ago
- Convex potential flows☆83Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 6 months ago
- Some toy examples of score matching algorithms written in PyTorch☆47Updated 3 years ago
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- ☆46Updated last year
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆276Updated last year
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆93Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆75Updated last month
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆247Updated 2 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆118Updated 3 months ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- ☆49Updated 2 years ago