Pinned Repositories
ABigSurvey
A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
AdaT
AEEEM
Data used for exam project at UNIBO 2022
AEEEM-and-other-SDP-datasets
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
appium-python3
appium UI 自动化测试框架
auto_ui
web版本自动化测试报告
Fault-prediction-using-NASA-MDP-Dataset
Identifying the best algorithm for defect prediction in softwares and providing the most accurate results. The Metrics Data Program dataset provided by NASA has been used.
JM1-SoftwareDefectPrediction-
Jm1 is a dataset that was made by Nasa to predict software defects. it consists of 22 attributes and 10885 instances.
QExplore
QExplore is a dynamic automatic exploration tool for dynamic web applications. It reverse engineers a state-flow model that can be used to automate several web analysis and testing techniques.
binwensun's Repositories
binwensun/assertoor
Ethereum Testnet Testing Tool
binwensun/awesome-ai4code-papers
A collection of recent papers, benchmarks and datasets of AI4Code domain.
binwensun/Awesome-Code-LLM
A curated list of language modeling researches for code and related datasets.
binwensun/awesome-test-automation
A curated list of awesome test automation frameworks, tools, libraries, and software for different programming languages. Sponsored by https://zapple.tech
binwensun/cceval
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion (NeurIPS 2023)
binwensun/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
binwensun/cocomic
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context
binwensun/codepropertygraph
Code Property Graph: specification, query language, and utilities
binwensun/CodeT
binwensun/CodeXGLUE
CodeXGLUE
binwensun/cody
AI that knows your entire codebase
binwensun/dig
DIG is a a dynamic invariant generation tool that infers program invariants or properties over (i) program execution traces or (ii) program source code (C, Java, Java bytecode).
binwensun/DraCo
Dataflow-guided retrieval augmentation for repository-level code completion, ACL 2024 (main)
binwensun/Fastbot_Android
Fastbot(2.0) is a model-based testing tool for modeling GUI transitions to discover app stability problems
binwensun/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
binwensun/gpt-rss
📖 根据 RSS 订阅源定时抓取前沿 AIGC / GPT / LLM 相关文章，并实时更新至对应网站。来源：机器之心 / 量子位 / 新智元 / 腾讯AI实验室 / PaperWeekly / 我爱自然语言处理 / AIGC研修社 / ChatGPT
binwensun/gpt_academic
为ChatGPT/GLM提供实用化交互界面，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。
binwensun/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
binwensun/GraphCoder
binwensun/ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
binwensun/ml4se
A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
binwensun/mygoFlaskProject
记录mygo在b站下架前的样子
binwensun/RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
binwensun/refactor
The official code release for REFACTOR: Learning to Extract Theorems from Proofs
binwensun/repo-level-codegen-papers
Repo-Level Code generation papers
binwensun/Repoformer
Repoformer: Selective Retrieval for Repository-Level Code Completion (ICML 2024)
binwensun/ShiArthur03
binwensun/tabby
Self-hosted AI coding assistant
binwensun/tree-sitter-python
Python grammar for tree-sitter
binwensun/tree-sitter-ql
tree-sitter grammar for the CodeQL language