rustwasmc
WasmEdge-tensorflow-deps
Our great sponsors
| rustwasmc | WasmEdge-tensorflow-deps | |
|---|---|---|
| 3 | 1 | |
| 131 | 1 | |
| - | - | |
| 0.0 | 3.7 | |
| about 1 year ago | 10 months ago | |
| Rust | C | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rustwasmc
-
Enjoy the most lightweight AI inference
Finally, since our demo WebAssembly functions are written in Rust, you will also need a Rust compiler and the rustwasmc toolchain.
-
😎 Manage WebAssembly Apps in WasmEdge Using Docker Tools
The sample Wasm application is written in Rust. To make it work, make sure that you have Rust and the rustwasmc toolchains installed.
-
Streaming Image Recognition by WebAssembly and Tensorflow
Install rustwasmc
WasmEdge-tensorflow-deps
-
Streaming Image Recognition by WebAssembly and Tensorflow
$ wget https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/0.8.0/WasmEdge-tensorflow-deps-TF-0.8.0-manylinux2014_x86_64.tar.gz $ wget https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/0.8.0/WasmEdge-tensorflow-deps-TFLite-0.8.0-manylinux2014_x86_64.tar.gz $ sudo tar -C /usr/local/lib -xzf WasmEdge-tensorflow-deps-TF-0.8.0-manylinux2014_x86_64.tar.gz $ sudo tar -C /usr/local/lib -xzf WasmEdge-tensorflow-deps-TFLite-0.8.0-manylinux2014_x86_64.tar.gz $ sudo ln -sf libtensorflow.so.2.4.0 /usr/local/lib/libtensorflow.so.2 $ sudo ln -sf libtensorflow.so.2 /usr/local/lib/libtensorflow.so $ sudo ln -sf libtensorflow_framework.so.2.4.0 /usr/local/lib/libtensorflow_framework.so.2 $ sudo ln -sf libtensorflow_framework.so.2 /usr/local/lib/libtensorflow_framework.so $ sudo ldconfig
What are some alternatives?
wasm-learning - Building Rust functions for Node.js to take advantage of Rust's performance, WebAssembly's security and portability, and JavaScript's ease-of-use. Demo code and recipes.
cli - Command-line tools for YoMo.
wasmedge-quickjs - A high-performance, secure, extensible, and OCI-complaint JavaScript runtime for WasmEdge.
WasmEdge-image
cri-o - Open Container Initiative-based implementation of Kubernetes Container Runtime Interface
WasmEdge-tensorflow
SSVM - WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
yomo-wasmedge-tensorflow - This application demonstrates how to launch high-performance "serverless" functions from the YoMo framework to process streaming data. The functions are embedded in a WebAssembly VM, WasmEdge, for safety, security, portability, and manageability.
yomo - 🦖 Stateful Serverless Framework for building Geo-distributed Edge AI Infra
customasm - 💻 An assembler for custom, user-defined instruction sets! https://hlorenzi.github.io/customasm/web/