jrmcornish / cifLinks
PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
☆31Updated 3 years ago
Alternatives and similar repositories for cif
Users that are interested in cif are comparing it to the libraries listed below
Sorting:
- ☆68Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Convex potential flows☆83Updated 3 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- ☆54Updated 11 months ago
- ☆63Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated 11 months ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆30Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- ☆42Updated 6 years ago
- ☆28Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago