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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A PyTorch Library for Accelerating 3D Deep Learning Research
| Date | Stars |
|---|---|
| 2026-07-24 | 5145 |
| 2026-07-25 | 5146 |
| 2026-07-28 | 5146 |
| 2026-07-30 | 5146 |
| 2026-07-31 | 5149 |
| 2026-08-06 | 5152 |
Today
+3 stars today
This week
+6 stars this week
This month
— stars this month
Momentum
18.0
growth rate 0.12%/day
# Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research > **TL;DR** — Kaolin is NVIDIA's PyTorch library of reusable, GPU-optimized modules distilled from 3D deep learning research. > > - Representation-agnostic **physics** (meshes, splats, point clouds) with Simplicits > - **Differentiable rendering** (DIB-R, nvdiffrast, easy_render PBR) > - First-class **3D Gaussian splats** (PLY/USD I/O, densification, gsplat bridge) > - GPU **octree** acceleration structure: Structured Point Clouds (SPC) > - **Conversions** between 3D representations, **quaternion** ops, and **USD** I/O <p align="center"> <img src="assets/kaolin.png" width="60%" align="bottom" alt="Kaolin"> <img src="assets/doll_dozer_enc.gif" width="35%" align="bottom" alt="Physics simulation with Kaolin"> </p> [](https://kaolin.readthedocs.io/en/latest/) [](https://github.com/NVIDIAGameWorks/kaolin/releases) [](LICENSE) [](https://developer.nvidia.com/kaolin) Kaolin packages reusable building blocks from NVIDIA 3D research into a cohesive PyTorch API — continuously improving representation-agnostic physics simulation, fast conversions between representations, quaternion math, batched mesh and splat containers, I/O, visualization and more. See [kaolin.readthedocs.io](https://kaolin.readthedocs.io/en/latest/) for tutorials and API reference, and [developer.nvidia.com/kaolin](https://developer.nvidia.com/kaolin) for the NVIDIA Kaolin hub. ## SIGGRAPH 2026 Join us in Los Angeles! Two sessions showcasing new Kaolin capabilities. [Full details here](https://kaolin.readthedocs.io/en/latest/notes/siggraph2026.html). <table> <tr> <td width="50%" valign="top"> <a href="https://s2026.conference-schedule.org/presentation/?id=gensub_229&sess=sess169"> <img src="assets/web_framework.jpg" alt="Web framework talk" width="100%"> </a> **Talk — Any Representation, Any Hardware, All Interactions** Accelerating Interactive Prototypes Over Cutting Edge AI & 3D Research Sun **19 Jul 2026**, 3:00–3:20 pm PDT · Room **408 A** Maria Shugrina (NVIDIA / University of Toronto) Introduces Kaolin's new **web client-server framework** (`kaolin/visualize/dash`) for rapid prototyping of interactive browser interfaces over emerging AI and 3D research — patterns distilled from building interactive tools at SIGGRAPH technical papers, Real-Time Live, and Labs. Available on the [`web_framework_prerelease` branch](https://github.com/NVIDIAGameWorks/kaolin/tree/web_framework_prerelease) (not yet merged to `master`). [Schedule →](https://s2026.conference-schedule.org/presentation/?id=gensub_229&sess=sess169) </td> <td width="50%" valign="top"> <a href="https://s2026.conference-schedule.org/presentation/?id=gensub_123&sess=sess257"> <img src="assets/sigg2026_lab.jpg" alt="Capture to simulation lab" width="100%"> </a> **Hands-on Lab — From 3D Captures to Simulated Digital Environments** Thu **23 Jul 2026**, 10:15–11:45 am PDT · **Concourse Hall** Clement Fuji Tsang, Vismay Modi, Maria Shugrina (NVIDIA) A **capture-to-simulation pipeline** for in-the-wild 3D Gaussian Splat scenes: segment objects, predict volumetric mechanical properties, run mixed splat–mesh physics — powered by recent Kaolin features. Export shareable **USD files with Kaolin's custom physics schema**. **Bring your laptop** and follow along hands-on. Full Conference badge required. [Schedule →](https://s2026.conference-schedule.org/presentation/?id=gensub_123&sess=sess257) </td> </tr> </table> ## Features <table> <tr> <td width="33%" valign="top"> **Physics (Simplicits)** Simulate meshes, splats, and point clouds with collisions. Warp-accelerated, representation-agnostic. [Docs](https://kaolin.readthedocs.io/en/latest/notes/simplicits
Excerpt of 16,359 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:63d956dd58e2fb62, topic:cuda
matched fp:63d956dd58e2fb62, topic:pytorch
matched fp:63d956dd58e2fb62, topic:gaussian-splatting
