CampusAI / Hamiltonian-Generative-NetworksLinks
Re-implementation of Hamiltonian Generative Networks paper
☆33Updated 3 years ago
Alternatives and similar repositories for Hamiltonian-Generative-Networks
Users that are interested in Hamiltonian-Generative-Networks are comparing it to the libraries listed below
Sorting:
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆112Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆124Updated 2 years ago
- ☆21Updated 3 years ago
- This repository contains code released by DiffEqML Research☆91Updated 3 years ago
- ☆36Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Updated 4 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Convex potential flows☆84Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- Baselines for Model-Based Optimization☆55Updated 3 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆43Updated 2 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Updated last year
- The Differentiable Cross-Entropy Method☆124Updated 5 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 10 months ago
- PyTorch implementation of Stein Variational Gradient Descent☆47Updated 2 years ago
- ☆49Updated 2 years ago
- ☆105Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆15Updated 5 years ago