codefuse-ai
Hello World! This is CodeFuse!
CodeFuse aims to develop Code Large Language Models (Code LLMs) to support and enhance full-lifecycle AI native software development, covering crucial stages such as design requirements, coding, testing, building, deployment, operations, and insight analysis.
We are passionating about creating innovative open-source solutions that empower developers throughout the software development process as shown above. We also encourage engineers and researchers within this community to join us in co-constructing/improving CodeFuse.Popular repositories Loading
Repositories
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CodeFuse-DeBench Public
CodeFuse-DeBench is an automated benchmark framework for evaluating decompiled binaries across three stages: (1) Readability: Evaluates the readability of decompiled code Syntactic Correctness. (2) Recompilation: Tests whether decompiled code can be successfully recompiled. (3) Functionality: Verifies the functional correctness of decompiled code.
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codefuse-ide Public
AI Native IDE based on CodeFuse and OpenSumi
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CodeFuse-Embeddings Public
Text and code embeddings research from CodeFuse: C2LLM, D2LLM, E2LLM, F2LLM, ML-Embed
codefuse-ai/CodeFuse-Embeddings’s past year of commit activity -
Awesome-Code-LLM Public
[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
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CodeFuse-RAMP Public
Official implementation of "LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs".

