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2 repositorios

Awesome GitHub RepositoriesWebAssembly Inference Executions

Runs TensorFlow model inference within a WebAssembly sandbox for portable AI execution.

Distinct from TensorFlow: Distinct from TensorFlow: focuses on executing inference with TensorFlow models, not converting or training them.

Explore 2 awesome GitHub repositories matching devops & infrastructure · WebAssembly Inference Executions. Refine with filters or upvote what's useful.

Awesome WebAssembly Inference Executions GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • tensorflow/tfjsAvatar de tensorflow

    tensorflow/tfjs

    19,134Ver en GitHub↗

    TensorFlow.js is a JavaScript machine learning library used for training and deploying models in web browsers and server-side environments. It functions as a browser-based model trainer, a WebAssembly inference engine, and a WebGPU accelerated tensor library for low-level linear algebra. The project also includes a model converter to transform Python-based models into optimized formats for JavaScript execution. The library distinguishes itself through a pluggable backend architecture that allows mathematical operations to be executed via CPU, WebGL, or WebGPU. It supports the conversion of Py

    Provides a WebAssembly-based runtime to execute TensorFlow models for portable performance across operating systems.

    TypeScript
    Ver en GitHub↗19,134
  • wasmedge/wasmedgeAvatar de WasmEdge

    WasmEdge/WasmEdge

    10,665Ver en GitHub↗

    WasmEdge is an extensible WebAssembly runtime that executes WebAssembly bytecode in a secure sandbox for cloud, edge, and embedded applications. It functions as a multi-language compiler, compiling applications written in Rust, JavaScript, Go, and Python into WebAssembly bytecode for sandboxed execution, and as a server-side JavaScript runtime that runs JavaScript programs with ES6 modules, NPM packages, and Node.js-compatible APIs. The runtime also serves as an AI inference runtime, executing AI models from JavaScript using WASI-NN plug-ins for inference tasks on personal devices and edge har

    Runs TensorFlow and TensorFlow Lite model inference using a dedicated plug-in and Rust SDK for tensor input and output.

    C++artificial-intelligencecloudcloud-native
    Ver en GitHub↗10,665
  1. Home
  2. DevOps & Infrastructure
  3. Model Conversion
  4. TensorFlow
  5. WebAssembly Inference Executions

Explorar subetiquetas

  • Decision Forest ExecutionsExecution of decision forest models within a WebAssembly-based runtime. **Distinct from WebAssembly Inference Executions:** Distinct from WebAssembly Inference Executions: specifies the model type as decision forests rather than general TensorFlow models.