Utilities for confidential machine learning
Project description
Confidential ML Utilities
Confidential ML is the practice of training machine learning models without seeing the training data. It is needed in many enterprises to satisfy the strict compliance and privacy guarantees they provide to their customers. This repository contains a set of utilities for confidential ML, with a special emphasis on using PyTorch in Azure Machine Learning pipelines.
Using
VS Code Snippets see: docs/snippets
Compliant logging library see: docs/logging
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file confidential-ml-utils-0.2.0.tar.gz.
File metadata
- Download URL: confidential-ml-utils-0.2.0.tar.gz
- Upload date:
- Size: 3.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d3961bef5155ab97853b30a5252c58e3485a34a7e4716aca7f451ce08ff00224 |
|
| MD5 | a9187857cb4deeeed6d66a89354dfb49 |
|
| BLAKE2b-256 | 9315b6105422bdad7b9c0bc17238bf7b1df016335101f5f723a6b21309532810 |
File details
Details for the file confidential_ml_utils-0.2.0-py3-none-any.whl.
File metadata
- Download URL: confidential_ml_utils-0.2.0-py3-none-any.whl
- Upload date:
- Size: 4.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7452ba04597e0e136e52562b5e9a1f159e9720df805b5ceac21b31473d701b87 |
|
| MD5 | 4d3650e0025286ae90c91c099252f2ea |
|
| BLAKE2b-256 | 5ebfbc7756772be973094f971e839fd5952d6c0765cf6b6c5bd6e212c966b696 |
