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

   Jupyter Notebook 42 16

2. Lagrangian_caVAE Lagrangian_caVAE Public

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

   Jupyter Notebook 17 7

3. diff_sim_grads diff_sim_grads Public

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

   Jupyter Notebook 46 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 31 5

5. diff_sim_improve_grads diff_sim_improve_grads Public

   PyTorch and Taichi implementations of our paper on improving gradient computation

   Python 4