28 dependents
| Package | Description | Downloads/month |
|---|---|---|
| High-performance NVIDIA Warp primitives for GPU-enabled computational chemistry ... | 399K | |
| GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardw... | 76K | |
| Actuator-based control library for GPU-accelerated physics simulations | 45K | |
| Open-source deep-learning framework for building, training, and fine-tuning deep... | 40K | |
| A GPU-accelerated physics engine for robotics simulation | 25K | |
| Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research | 20K | |
| Isaac Lab | 14K | |
| 12K | ||
| SOMA body layer | 4K | |
| Particula is an open-source, aerosol simulation library. | 3K | |
| GPU-accelerated SPH neighbor search and operators built with NVIDIA Warp and PyT... | 2K | |
| AIMNet2: Fast and accurate machine-learned interatomic potential for molecular d... | 2K | |
| 🍉 A comprehensive Python library for 3D mesh processing with advanced I/O capabi... | 2K | |
| Pure-Python NVIDIA Warp backend for 3D Gaussian Splatting | 2K | |
| TorchMD-NET provides state-of-the-art neural networks potentials for biomolecula... | 1K | |
| CUDA Graphable Neural Networks for NVIDIA Warp | 1K | |
| Clips from newton-physics simulation to Unreal Engine 5 runtime | 1K | |
| subquadratic-ops-torch-cu13 - GPU Accelerated Torch Extensions for Subquadratic ... | 1K | |
| 971 | ||
| subquadratic-ops-torch-cu12 - GPU Accelerated Torch Extensions for Subquadratic ... | 779 | |
| High-fidelity GPU-accelerated aerospace physics engine powered by NVIDIA Warp. | 657 | |
| 🍎 A JAX and Warp library for differentiable physics simulation, featuring elasti... | 624 | |
| XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML | 556 | |
| Towards Embodied AI with MuscleMimic: Unlocking full-body musculoskeletal motor ... | 485 | |
| Benchmark Numba, Taichi, Warp, JAX using Mandelbrot set | 378 | |
| A platform for reinforcement learning in differentiable multiphysics simulation | 201 | |
| A PyTorch Implementation of MLS-MPM (Moving Least Squares Material Point Method) | 128 | |
| PyTorch implementation of Bundle Adjustment in the Eager-mode | 77 |
