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
Sorting:
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 9 months ago
- ☆13Updated last year
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- ☆46Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 7 months ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆55Updated 4 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Official implementation of Transformer Neural Processes☆76Updated 2 years ago
- ☆28Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 3 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Code release for "Stochastic Optimal Control Matching"☆35Updated 9 months ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆19Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago