Alternatives and similar repositories for gn.pytorch

Users that are interested in gn.pytorch are comparing it to the libraries listed below

• YunzhuLi / PropNet
  [ICRA 2019] Propagation Networks for Model-based Control Under Partial Observation
  ☆47Updated 6 years ago
• YunzhuLi / DPI-Net
  [ICLR 2019] Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
  ☆129Updated 4 years ago
• neuroailab / physics_prediction
  Codes for paper "Flexible Neural Representation for Physics Prediction".
  ☆45Updated 6 years ago
• pairlab / v-cdn
  [NeurIPS 2020] Causal Discovery in Physical Systems from Videos
  ☆78Updated 2 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆45Updated 4 years ago
• seuqaj114 / paig
  Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video
  ☆41Updated 2 years ago
• FerranAlet / graph_element_networks
  ☆56Updated 2 years ago
• higgsfield / interaction_network_pytorch
  Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
  ☆130Updated 7 years ago
• sail-sg / ILD
  Imitation Learning via Differentiable Physics
  ☆41Updated 2 years ago
• mcubelab / pdproc
  Scripts for processing and rendering the MIT push dataset
  ☆19Updated 5 years ago
• YunzhuLi / VGPL-Dynamics-Prior
  [ICML 2020] Visual Grounding of Learned Physical Models (Dynamics Prior)
  ☆38Updated 7 months ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆90Updated 4 years ago
• shikharbahl / neural-dynamic-policies
  ☆67Updated 4 years ago
• jlko / STOVE
  Structured Object-Aware Physics Prediction for Video Modeling and Planning
  ☆32Updated 5 years ago
• YunzhuLi / VGPL
  [ICML 2020] Visual Grounding of Learned Physical Models
  ☆39Updated 4 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• msieb1 / visual-entity-graphs
  ☆17Updated 5 years ago
• Wenxuan-Zhou / EPI
  Code for Environment Probing Interaction Policies [ICLR 2019]
  ☆29Updated 5 years ago
• fabienbaradel / cophy
  "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020
  ☆33Updated 5 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• stepjam / BPP
  Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning
  ☆24Updated 3 years ago
• hanjq17 / SGNN
  [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
  ☆35Updated 2 years ago
• ogroth / shapestacks
  Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'
  ☆47Updated 2 years ago
• suraj-nair-1 / goal_aware_prediction
  Code for Goal-Aware Prediction: Learning to Model what Matters
  ☆20Updated 4 years ago
• Khrylx / Transform2Act
  [ICLR 2022 Oral] Official PyTorch Implementation of "Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design".
  ☆59Updated last year
• facebookresearch / CausalSkillLearning
  Codebase for project about unsupervised skill learning via variational inference and causality.
  ☆42Updated last year
• RoboTurk-Platform / roboturk_real_dataset
  ☆35Updated 2 years ago
• jcoreyes / OP3
  Entity Abstraction in Visual Model-Based Reinforcement Learning
  ☆57Updated 4 years ago
• WilsonWangTHU / NerveNet
  ☆117Updated 6 years ago
• tkipf / compile
  CompILE: Compositional Imitation Learning and Execution (ICML 2019)
  ☆112Updated 6 years ago