diff --git a/docs/index.rst b/docs/index.rst index 7c6b4b60..9d323726 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -7,7 +7,7 @@ regular Python functions and JIT compiles them to efficient kernel code that can Warp is designed for `spatial computing `_ and comes with a rich set of primitives that make it easy to write programs for physics simulation, perception, robotics, and geometry processing. In addition, Warp kernels -are differentiable and can be used as part of machine-learning pipelines with frameworks such as PyTorch and JAX. +are differentiable and can be used as part of machine-learning pipelines with frameworks such as PyTorch, JAX and Paddle. Below are some examples of simulations implemented using Warp: