janosh / torch-mnfLinks
Multiplicative Normalizing Flows in PyTorch.
☆24Updated last month
Alternatives and similar repositories for torch-mnf
Users that are interested in torch-mnf are comparing it to the libraries listed below
Sorting:
- Stochastic Normalizing Flows☆77Updated 3 years ago
- ☆68Updated 2 years ago
- Library for normalizing flows and neural flows.☆24Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 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
- We got a stew going!☆27Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- ☆30Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆53Updated 11 months ago
- Convex potential flows☆83Updated 3 years ago
- ☆38Updated 2 years ago
- ☆20Updated 2 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- ☆28Updated 3 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆92Updated 4 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago