ELIFE-ASU / INNLab
A python/pytorch package for invertible neural networks
☆62Updated last year
Related projects ⓘ
Alternatives and complementary repositories for INNLab
- A PyTorch Implementation of Density Estimation Using Real NVP☆59Updated 3 years ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆84Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated 3 months ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆140Updated 4 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆82Updated 2 years ago
- Experiments for Neural Flows paper☆87Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆123Updated 2 months ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.☆54Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 2 years ago
- A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm☆35Updated 8 months ago
- The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.☆74Updated 4 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 3 years ago
- ☆32Updated 2 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆76Updated 2 years ago
- code to show F-Principle in the DNN training☆59Updated 2 years ago
- Stochastic Normalizing Flows☆73Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆56Updated last month
- Conditional-Glow for Structured Prediction☆26Updated last year
- ☆20Updated 5 months ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆116Updated 11 months ago
- ☆45Updated last year
- Score-based generative models for compact manifolds☆103Updated 10 months ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆104Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- Code for "Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory," NeurIPS, 2021.☆15Updated 2 years ago
- L1-regularized least squares with PyTorch☆64Updated last year
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆34Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago