WasmEdge-tensorflow-deps
By second-state
rustwasmc
Tool for building Rust functions for Node.js. Combine the performance of Rust, safety and portability of WebAssembly, and ease of use of JavaScript. (by second-state)
| WasmEdge-tensorflow-deps | rustwasmc | |
|---|---|---|
| 1 | 3 | |
| 1 | 131 | |
| - | - | |
| 3.7 | 0.0 | |
| 10 months ago | about 1 year ago | |
| C | Rust | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
WasmEdge-tensorflow-deps
Posts with mentions or reviews of WasmEdge-tensorflow-deps.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-27.
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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
rustwasmc
Posts with mentions or reviews of rustwasmc.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-08.
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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.
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😎 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.
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Streaming Image Recognition by WebAssembly and Tensorflow
Install rustwasmc
What are some alternatives?
When comparing WasmEdge-tensorflow-deps and rustwasmc you can also consider the following projects:
cli - Command-line tools for YoMo.
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.