jackgoffinet / ffjord-lite
A minimal working example of Free-Form Jacobian of Reversible Dynamics
☆13Updated 5 years ago
Alternatives and similar repositories for ffjord-lite:
Users that are interested in ffjord-lite are comparing it to the libraries listed below
- ☆46Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 6 months ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- Code release for "Stochastic Optimal Control Matching"☆32Updated 7 months ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- ☆13Updated last year
- ☆28Updated 3 years ago
- Official implementation of Transformer Neural Processes☆72Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- [ICML2022] Variational Wasserstein gradient flow☆21Updated 2 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- Convex potential flows☆83Updated 3 years ago
- [ICLR 2022] Path integral sampler☆45Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆68Updated 2 years ago
- ☆64Updated last year