mlvlab / MonotoneFlowsLinks
Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"
☆14Updated 2 years ago
Alternatives and similar repositories for MonotoneFlows
Users that are interested in MonotoneFlows are comparing it to the libraries listed below
Sorting:
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆35Updated 3 years ago
- Neural Diffusion Processes☆81Updated last year
- ☆52Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 10 months ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)☆16Updated 2 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- A framework for composing Neural Processes in Python☆85Updated 8 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Implementation of the Convolutional Conditional Neural Process☆125Updated 4 years ago
- Stochastic Normalizing Flows☆77Updated 3 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆26Updated 2 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- ☆20Updated 6 months ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- Experiments for Neural Flows paper☆97Updated 3 years ago
- ☆20Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆51Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago