ermongroup / mintnetLinks
MintNet: Building Invertible Neural Networks with Masked Convolutions
☆39Updated 4 years ago
Alternatives and similar repositories for mintnet
Users that are interested in mintnet are comparing it to the libraries listed below
Sorting:
- ☆68Updated 3 years ago
- ☆42Updated 6 years ago
- Convex potential flows☆84Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 3 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- ☆28Updated 3 years ago
- Efficient Householder Transformation in PyTorch☆67Updated 4 years ago
- ☆30Updated 5 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- ☆64Updated last year
- PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"☆19Updated 6 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 3 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 6 years ago
- Masked Convolutional Flow☆60Updated 5 years ago