Alternatives and similar repositories for lcp-physics:

Users that are interested in lcp-physics are comparing it to the libraries listed below

• YilingQiao / diffsim
  Scalable Differentiable Physics for Learning and Control (ICML2020)
  ☆171Updated 6 months ago
• locuslab / icnn
  Input Convex Neural Networks
  ☆284Updated 5 years ago
• google / deluca
  Performant, differentiable reinforcement learning
  ☆120Updated 8 months ago
• higgsfield / interaction_network_pytorch
  Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
  ☆129Updated 7 years ago
• gradsim / gradsim
  Differentiable simulation for system identification and visuomotor control
  ☆188Updated last year
• YunzhuLi / DPI-Net
  [ICLR 2019] Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
  ☆128Updated 4 years ago
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆370Updated 3 years ago
• locuslab / optnet
  OptNet: Differentiable Optimization as a Layer in Neural Networks
  ☆521Updated 4 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆276Updated 2 years ago
• seiing / SoftCon
  Author's implementation of SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators (SIGGRAPH Asia 2019 Technical…
  ☆154Updated 4 years ago
• neuroailab / physics_prediction
  Codes for paper "Flexible Neural Representation for Physics Prediction".
  ☆44Updated 6 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆125Updated 4 years ago
• osqp / osqpth
  The differentiable OSQP solver layer for PyTorch
  ☆59Updated 2 years ago
• YilingQiao / diffarticulated
  Efficient Differentiable Simulation of Articulated Bodies (ICML2021)
  ☆96Updated 3 years ago
• bamos / thesis
  Differentiable Optimization-Based Modeling for Machine Learning
  ☆330Updated 5 years ago
• nrontsis / PILCO
  Bayesian Reinforcement Learning in Tensorflow
  ☆318Updated 4 years ago
• google / trajax
  ☆210Updated last year
• hzaskywalker / PlasticineLab
  Code for paper "PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics"
  ☆142Updated last year
• mbchang / dynamics
  A Compositional Object-Based Approach to Learning Physical Dynamics
  ☆171Updated 7 years ago
• jsikyoon / Interaction-networks_tensorflow
  Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics
  ☆158Updated 7 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆374Updated 2 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆96Updated 2 weeks ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆448Updated 3 years ago
• cschenck / SmoothParticleNets
  A set of custom deep network layers written in PyTorch to enable computation with unordered particle sets with an emphasis on fluid dynam…
  ☆66Updated 4 years ago
• locuslab / qpth
  A fast and differentiable QP solver for PyTorch.
  ☆697Updated 5 months ago
• WilsonWangTHU / mbbl
  ☆389Updated 5 years ago
• ramanans1 / plan2explore
  Repository for the paper "Planning to Explore via Self-Supervised World Models"
  ☆218Updated 2 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆103Updated 5 years ago
• facebookresearch / differentiable-robot-model
  We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots …
  ☆240Updated last year