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An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
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Reinforcement learning in differentiable multiphysics simulation with NVIDIA Warp.
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Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
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[ICLR 2025] GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering
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[ICLR 2025] Implementation of "FACTS: A Factored State-Space Framework For World Modelling"
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[ICRA 2025] Persistent Object Gaussian Splat (POGS) for Tracking Human and Robot Manipulation of Irregularly Shaped Objects
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High-performance automatic differentiation of LLVM and MLIR.
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Tile primitives for speedy kernels
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Source Codes for Codimensional Incremental Potential Contact (C-IPC)
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🚀 A collection of utilities and tools for LeRobot.
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Pado: Pytorch Automatic Differentiable Optics
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XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
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Official repo for PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations, ECCV 2024
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Code for "Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups"
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🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
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Cross-platform C++ library of algorithms and data structures commonly used in computer graphics research on physically-based simulation with Python bindings.
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10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
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A generative world for general-purpose robotics & embodied AI learning.
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[ICRA, 2025] SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting
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High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)
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mpm solver implemented in WARP
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Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
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MANO layer for PyTorch, generating hand meshes as a differentiable layer
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[3DV 2025] Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann
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MCC-HO
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collection of diffusion model papers categorized by their subareas
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Python Wrapper for Nvidia PhysX simulator.
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Code of "NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation", CVPR 2023