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Easily evaluate machine learning models on public benchmarks

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CVE-2007-4559 Patch

# Patching CVE-2007-4559 Hi, we are security researchers from the Advanced Research Center at [Trellix](https://www.trellix.com). We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a...

TrellixVulnTeam avatar TrellixVulnTeam

Code for a new machine translation benchmark, Tatoeba

Hi, I'm proposing to integrate the Tatoeba machine translation dataset into sotabench-eval. I have included code for running the tests, modeled after WMT, and for downloading and configuring the data....

Traubert avatar Traubert

Support reporting hyper parameters

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This looks like an awesome project. Would be great if there was a way to report hyper parameters with each submission.

michalwols avatar michalwols

Bump black from 19.3b0 to 24.3.0

Bumps [black](https://github.com/psf/black) from 19.3b0 to 24.3.0. Release notes Sourced from black's releases. 24.3.0 Highlights This release is a milestone: it fixes Black's first CVE security vulnerability. If you run Black...

dependabot[bot] avatar dependabot[bot]

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Easily evaluate machine learning models on public benchmarks

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