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Benoit Chevallier-Mames e78086eefa feat: let's have a customizable assert 
closes #245
2021-09-10 17:52:09 +02:00
.github
chore: fix typo in release issue template, fix rc numbering
2021-09-09 14:32:39 +02:00
benchmarks
refactor: update benchmark infrastructure to be compatible with the new progress tracker
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concrete
feat: let's have a customizable assert
2021-09-10 17:52:09 +02:00
docker
fix(docker): update and fix release docker
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doc: let's document the framework
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examples
chore: rename hdk to concrete first pass
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build: test env docker image before pushing as latest
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tests
feat: let's have a customizable assert
2021-09-10 17:52:09 +02:00
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feat(docker): create a docker environment to test and develop MLIR stuff
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mypy.ini
chore(req): add numpy dependency
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poetry.lock
dev: add code to have the proper data type when getting an AF table
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poetry.toml
chore(tools): setup poetry and bare hdk package
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pylintrc
refactor: update benchmark infrastructure to be compatible with the new progress tracker
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pyproject.toml
release: update the version
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README.md
docs: Re-organize installation docs
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torch_requirements.txt
doc(examples): create quantized linear and logistic regression examples
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README.md

concretefhe

Concrete Framework Python API - collection of tools to FHE all the things

For end users

Using the project

To use the project you can check INSTALLING.md

For developers

Project setup

Installation steps are described in PROJECT_SETUP.md. Information about how to use Docker for development are available in DOCKER.md.

Documenting

Some information about how to build the documentation of concretefhe are available in DOCUMENTING.md. Notably, our documentation is pushed to https://hdk.zama.ai.

Developing

Some information about our terminology and the infrastructure of concretefhe are available in TERMINOLOGY_AND_STRUCTURE.md. An in-depth look at what is done in concretefhe is available in COMPILATION.md.

Contributing

Information about how to contribute are available in CONTRIBUTING.md.

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Description
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Readme 148 MiB
Languages
C++ 34.3%
Python 23.1%
MLIR 22.9%
Rust 14.6%
C 2.2%
Other 2.8%