Pinned

1. Physics-aware-AI/Symplectic-ODENet Physics-aware-AI/Symplectic-ODENet Public

   Jupyter Notebook 39 14

2. Lagrangian_caVAE Lagrangian_caVAE Public

   Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"

   Jupyter Notebook 14 7

3. diff_sim_grads diff_sim_grads Public

   We compare the gradients calculated by different differentiable contact model implementations.

   Jupyter Notebook 40 4

4. Physics-aware-AI/DiffCoSim Physics-aware-AI/DiffCoSim Public

   By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to enable learning of hybrid dynamics.

   Jupyter Notebook 26 5

5. diff_sim_improve_grads diff_sim_improve_grads Public

   PyTorch and Taichi implementations of our paper on improving gradient computation

   Python 4