lunayht / AI504
Programming for AI Practice
☆14Updated 4 years ago
Alternatives and similar repositories for AI504:
Users that are interested in AI504 are comparing it to the libraries listed below
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆21Updated last month
- ☆29Updated 2 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆12Updated 2 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆35Updated 2 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year
- ☆11Updated last year
- A Python package to learn the Koopman operator.☆55Updated 5 months ago
- ☆40Updated last year
- ☆8Updated 4 years ago
- Official code release of Hilbert Diffusion Model (PyTorch ver.)☆16Updated 8 months ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH join…☆18Updated last year
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆44Updated 10 months ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- ☆27Updated 4 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆26Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆68Updated 5 months ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 3 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago
- An official 're'-implementation of Physics-induced graph neural network: An application to wind-farm power estimation (PGNN).☆27Updated 3 years ago
- Code for Lie Symmetries SSL paper☆20Updated last year
- codes for "Universal Functional Regression with Neural Operator Flows"☆13Updated 6 months ago
- Code for "Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory," NeurIPS, 2021.☆16Updated 3 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆24Updated 11 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆12Updated 8 months ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆19Updated last year
- ☆15Updated 4 years ago