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Abstract Meaning Representation (AMR) tutorial slides
A python library that makes AMR parsing, generation and visualization simple.
An ANTLR4 Python grammar based on the official grammar
Standalone ASDL parser for upstream CPython 3.x
Research project leveraging Abstract Syntax Trees and Knowledge Graphs with Retrieval-Augmented Generation to develop an advanced, context-aware code generation system using Language Server Protocol and Large Language Models.
This is the code repository for our ICPC 2021 paper "Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting"
BERT encoder and a general-purpose Transition-based abstract syntaX parser
Code for "CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning" (WWW 2019)
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.
Prompt engineering with Langchain and fine-tuning the CodeLlama model. The main aim is to generate task-specific C++ code snippets. Experiment with various prompts and models to create accurate C++ code. Unit test is conducted to validate the correctness and effectiveness of the generated code snippets.
Models and datasets for annotated code search.
Datasets, tools, and benchmarks for representation learning of code.
Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"
This repository contains the implementations of our experiments and our approach presented in the paper: CoNCRA: A Convolutional Neural Network Code Retrieval Approach
Learning Code-Query Interaction for Enhancing Code Searches
I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
Code for "Deep Graph Matching and Searching for Semantic Code Retrieval"
Code for journal paper "Learning Dual Semantic Relations with Graph Attention for Image-Text Matching", TCSVT, 2020.
ExploitGen is a template-augmented Exploit Code generation method based on CodeBERT, which accepted in JSS..
Graph-context Attention Networks for Size-varied Deep Graph Matching
PyTorch implementation of Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval
Implementation of our CVPR2020 paper, Graph Structured Network for Image-Text Matching
Tips and know-hows for writing research papers
Tips for Writing a Research Paper using LaTeX
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.