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README.md

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 gsplat is an open-source library for CUDA accelerated rasterization of gaussians with python bindings. It is inspired by the SIGGRAPH paper [3D Gaussian Splatting for Real-Time Rendering of Radiance Fields](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/), but we’ve made gsplat even faster, more memory efficient, and with a growing list of new features! 
 
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 ## Installation
 
 **Dependence**: Please install [Pytorch](https://pytorch.org/get-started/locally/) first.
 
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 The easiest way is to install from PyPI. In this way it will build the CUDA code **on the first run** (JIT).
 
 ```bash