Symplectic Recurrent Neural Networks
☆28Jan 18, 2023Updated 3 years ago
Alternatives and similar repositories for SRNN
Users that are interested in SRNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Dec 15, 2020Updated 5 years ago
- ☆31Dec 28, 2025Updated 2 months ago
- ☆12Nov 30, 2022Updated 3 years ago
- ☆115May 17, 2021Updated 4 years ago
- The official implementation of paper "Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization".☆10May 30, 2019Updated 6 years ago
- Accompanying code for "Weak form generalized Hamiltonian learning"☆10Feb 13, 2021Updated 5 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆35Aug 22, 2022Updated 3 years ago
- PyTorch implementation of Hamiltonian deep neural networks.☆23Jan 17, 2022Updated 4 years ago
- Hamiltonian Neural Networks for solving Differential Equations☆23Mar 24, 2022Updated 3 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Jun 16, 2023Updated 2 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- ☆15Mar 3, 2023Updated 3 years ago
- Efficient joint input optimization and inference with DEQ☆10Nov 25, 2021Updated 4 years ago
- Code for our paper "Hamiltonian Neural Networks"☆510Apr 13, 2021Updated 4 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Dec 9, 2020Updated 5 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Nov 5, 2020Updated 5 years ago
- Code and instructions to reproduce the results of our NeurIPS 2019 paper☆14Mar 1, 2023Updated 3 years ago
- This project is a Python demonstrator for the stochastic grid bundling method (SGBM) to solve backward stochastic differential equations …☆12Nov 19, 2018Updated 7 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Nov 26, 2024Updated last year
- Code for Policy Bifurcation in Safe Reinforcement Learning☆10Jul 4, 2025Updated 8 months ago
- MATLAB code for Combined Hybrid-Parallel Prediction☆10Nov 14, 2022Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Oct 26, 2020Updated 5 years ago
- ☆23Jul 3, 2025Updated 8 months ago
- ☆24Sep 3, 2020Updated 5 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- Source code related to the article "Deep splitting method for parabolic PDEs" by Christian Beck, Sebastian Becker, Patrick Cheridito, Arn…☆15Nov 1, 2020Updated 5 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆29Sep 9, 2022Updated 3 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- In efforts to solve a dynamic travelling salesman problem☆11Sep 14, 2019Updated 6 years ago
- Official Project Webpage for paper "DiffSRL: Learning Dynamic-aware State Representation for Control via Differentiable Simulation"☆12Apr 4, 2022Updated 3 years ago
- The official implementation of two AI-enhanced numerical solvers: NeurVec (Sci. Rep.) and AttNS (ICML'24)☆27May 21, 2024Updated last year
- ☆21Dec 8, 2022Updated 3 years ago
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Mar 3, 2022Updated 4 years ago
- Code of the article "Manipulation of granular materials by learning particle interactions"☆11Feb 28, 2024Updated 2 years ago
- Tutorial: Data Validation for Machine Learning Techniques☆11May 5, 2023Updated 2 years ago
- ☆24Mar 3, 2023Updated 3 years ago
- Package for CGD and ACGD optimizers☆20Aug 11, 2022Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Jun 7, 2021Updated 4 years ago