incubator-teaclave-sgx-sdk
Apache Teaclave (incubating) SGX SDK helps developers to write Intel SGX applications in the Rust programming language, and also known as Rust SGX SDK. (by apache)
tract
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference (by sonos)
incubator-teaclave-sgx-sdk | tract | |
---|---|---|
4 | 20 | |
1,148 | 2,053 | |
0.5% | 1.3% | |
3.4 | 9.8 | |
about 1 month ago | 7 days ago | |
Rust | Rust | |
Apache License 2.0 | Apache 2.0/MIT |
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.
incubator-teaclave-sgx-sdk
Posts with mentions or reviews of incubator-teaclave-sgx-sdk.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-05.
-
How to protect information in memory?
https://github.com/apache/incubator-teaclave-sgx-sdk would be a create for this.
-
BlindAI: fast and privacy-friendly AI deployment solution in Rust
I am glad to introduce BlindAI, an AI deployment solution, leveraging secure enclaves, to make remotely hosted AI models privacy friendly. We leverage the tract project as our inference engine to serve AI models in ONNX format inside an enclave. We also use the Rust SGX SDK to use Rust for our secure enclave for AI.
-
Cargo patches
I am wondering something. If you have a look to this Cargo.toml file on github you could see at line 10 that the crate "sgx_crypto_helper" is declared as a dependency which is here a git repository. However you can see at line 19 that the same dependency "sgx_crypto_helper" is also declared with basically the same path... so I'm wondering what is the purpose of this?
tract
Posts with mentions or reviews of tract.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-03.
-
Are there any ML crates that would compile to WASM?
Tract is the most well known ML crate in Rust, which I believe can compile to WASM - https://github.com/sonos/tract/. Burn may also be useful - https://github.com/burn-rs/burn.
-
[Discussion] What crates would you like to see?
tract!!
-
tract VS burn - a user suggested alternative
2 projects | 25 Mar 2023
-
Machine Learning Inference Server in Rust?
we use tract for inference, integrated into our runtime and services.
- onnxruntime
- Rust Native ML Frameworks?
-
Neural networks - what crates to use?
Not for training, but for inference this looks nice: https://github.com/sonos/tract
-
Brain.js: GPU Accelerated Neural Networks in JavaScript
There's also tract, from sonos[0]. 100% rust.
I'm currently trying to use it to do speech recognition with a variant of the Conformer architecture (exported to ONNX).
The final goal is to do it in WASM client-side.
[0] https://github.com/sonos/tract
-
Serving ML at the Speed of Rust
As the article notes, there isn't any official Rust-native support for any common frameworks.
tract (https://github.com/sonos/tract) seems like the most mature for ONNX (for which TF/PT export is good nowadays), and recently it successfully implemented BERT.
-
Run deep neural network models from scratch
There are some DL libraries written in Rust: https://github.com/sonos/tract , https://docs.rs/neuronika/latest/neuronika/index.html . The second one could be used for training, I think.