Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
Paddle.js is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and WX miniprogram.
Right now the compute rasterizer only supports a simple list of triangles. It would be a good exercise to add support for an index buffer to support more complex models without using too much memory. You'll need to:
Create another buffer, similar to the vertex buffer, that holds indices into the vertex buffer, and send that to the compute shader
TypeScript type definitions for WebGPU (NOTE: the WebGPU API itself is still unstable! These types do not directly reflect the implementation status of any browser! https://webgpu.io/)
See:
https://github.com/KhronosGroup/glTF/tree/master/specification/2.0#cameras