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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.
*[paddlejs-core](./packages/paddlejs-core/README.md), the core part of the Paddle.js ecosystem, which is responsible for the operation of the inference process of the entire engine.
the core part of the Paddle.js ecosystem, which is responsible for the operation of the inference process of the entire engine.
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*[paddlejs-converter](./packages/paddlejs-converter/README.md), model transformation tool for Paddle.js, convert PaddlePaddle models (also known as fluid models) into a browser-friendly format.
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*[paddlejs-models](./packages/paddlejs-models/), model projects, supply flexible low-level APIs for users to implement their AI scenario.
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*[paddlejs-examples](./packages/paddlejs-examples/), Paddle.js AI examples
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*[paddlejs-mediapipe](./packages/paddlejs-mediapipe/), tools for live and streaming media, support webrtc camera and a lightweight opencv package
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### Backends
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*[paddlejs-backend-webgl](./packages/paddlejs-backend-webgl/README.md), webgl backend, the main backend for Paddle.js, [ops supported](./packages/paddlejs-backend-webgl/src/ops/index.ts)
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*[paddlejs-backend-webgpu](./packages/paddlejs-backend-webgpu/README.md), webgpu backend, an experimental backend, [WebGPU draft](https://gpuweb.github.io/gpuweb/), [ops supported](./packages/paddlejs-backend-webgpu/src/ops/index.ts)
*[paddlejs-backend-cpu](./packages/paddlejs-backend-cpu/README.md), cpu backend, [ops supported](./packages/paddlejs-backend-cpu/src/ops/index.ts)
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*[paddlejs-backend-nodegl](./packages/paddlejs-backend-nodegl/README.md), nodegl backend, a backend in Node.js for Paddle.js, using the webgl backend ops. [ops supported](./packages/paddlejs-backend-webgl/src/ops/index.ts)
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If you dont' want to put model on the network, you can use method 2.
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