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tags:
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- code-understanding
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- unixcoder
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---
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#
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An approach
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## Model Details
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**
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### Model Description
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The model used by **
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- **Pipeline developed by:** [
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- **Repository:** [
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- **Model type:** **code understanding**
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- **Language(s):** **Python**
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- **License:** **MIT**
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## Authors
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- **Zihao Li** (https://github.com/lazyhope)
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- **Rosa Filgueira** (https://www.rosafilgueira.com)
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tags:
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- code-understanding
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- unixcoder
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pipeline_tag: feature-extraction
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---
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# RepoSim4Py
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An embedding-approach-based tool for comparing semantic similarities between different Python repositories by using different information from repositories.
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## Model Details
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**RepoSim4Py** is a pipeline based on the HuggingFace platform for generating embeddings according to specified Github Python repositories.
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For each Python repository, it generates embeddings at different levels based on the source code, code documentation, requirements, and README files within the repository.
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By taking the mean of these embeddings, a repository-level mean embedding is generated.
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These embeddings can be used to compute semantic similarities at different levels, for example, using cosine similarity to get comparison.
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### Model Description
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The model used by **RepoSim4Py** is **UniXcoder** fine-tuned on [code search task](https://github.com/microsoft/CodeBERT/tree/master/UniXcoder/downstream-tasks/code-search), using the [AdvTest](https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/NL-code-search-Adv) dataset.
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- **Pipeline developed by:** [Henry65](https://huggingface.co/Henry65)
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- **Repository:** [RepoSim4Py](https://github.com/RepoMining/RepoSim4Py)
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- **Model type:** **code understanding**
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- **Language(s):** **Python**
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- **License:** **MIT**
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## Authors
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- **Zihao Li** (https://github.com/lazyhope)
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- **Rosa Filgueira** (https://www.rosafilgueira.com)
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