wm-semeru Goto Github PK
Name: SEMERU-Lab
Type: Organization
Bio: This group holds the code for research projects conducted by the SEMERU Lab at William & Mary
Location: Williamsburg
Name: SEMERU-Lab
Type: Organization
Bio: This group holds the code for research projects conducted by the SEMERU Lab at William & Mary
Location: Williamsburg
ACER is an AST-based Callgraph Generator Development Framework
Repo for automatically setting up environment for the Big Clone Benchmark
Causal Interpretability for SE
This project contains code specific processing utilities, mostly focused for helping software engineering research with machine learning models for code data.
Describing and Evaluating Semantic Capabilities for SOTA Code Models.
Project #3: What-if-tool Code. A Visual Tool for Understanding Machine Learning Models for Software Engineering
A Systematic Literature Review of Deep Learning in Software Engineering
Data Science for Software Engineering (ds4se) is an academic initiative to perform exploratory and causal inference analysis on software engineering artifacts and metadata. Data Management, Analysis, and Benchmarking for DL and Traceability.
Benchmarking Causl Study to Interpret Large Language Models for Source Code
Curated datasets extractor and API
Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
Machine learning project template based on the awesome nbdev_template
We present a novel approach, called SecureReqNet, for automatically identifying whether issues in bug or issue tracking systems describe security related content that should be given careful attention. Our approach consists of a two-phase deep learning architecture that operates purely on the natural language descriptions of issues. The first phase of our approach learns high dimensional sentence embeddings from hundreds of thousands of descriptions extracted from software vulnerabilities listed in the CVE database and issue descriptions extracted from open source projects using an unsupervised learning process. The second phase then utilizes this semantic ontology of embeddings to train a deep convolutional neural network capable of predicting whether a given issue contains security- related information.
Semeru Data and Machine Guidelines
A Library for Software Artifact Vectorization, Distance Computation, and Statistical Analysis on vectors.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repo holds the latest version of the LaTeX template for writing Theses and Dissertations at the College of William & Mary
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.