CW-Huang / CP-FlowLinks
Convex potential flows
☆83Updated 3 years ago
Alternatives and similar repositories for CP-Flow
Users that are interested in CP-Flow are comparing it to the libraries listed below
Sorting:
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 10 months ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 10 months ago
- ☆68Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆55Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- ☆30Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 10 months ago
- ☆64Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- ☆46Updated last year
- Efficient Householder Transformation in PyTorch☆65Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆17Updated 3 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆27Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago