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Anomaly detection related books, papers, videos, and toolboxes
Source code understanding via Machine Learning techniques
Implementation of the Bug Localization approach published in "Combining deep learning with information retrieval to localize buggy files for bug reports" with Deeplearning4j.
Hierarchical Semantic-Aware Neural Code Representation
[Retired 12.26.17] PyCharm plugin for searching StackOverflow in the IDE
The aim of the project was to write a compiler for a language called Decaf. Decaf is a simple imperative language similar to C or Pascal. The project involved writing a parser for parsing the source code, using flex and bison, and detecting any errors; Constructing an AST of the given source code, using bison, defining a custom class for each type of node; Generating IR code from each of the nodes in the AST, and then evaluating this IR, using LLVM.
A fully functional front-end of the compiler for a custom programming language, similar to C. Built parser, scanner, abstract syntax tree, interpreter for generating intermediate representation (LLVM IR) code for an input code file.
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
A PyTorch implementation of DenseNet.
[LLVM Static Slicer] Various program analyses, construction of dependence graphs and program slicing of LLVM bitcode.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is an open source implementation of the Github Copilot AI Model based on reverse engineering of the VSCode and IDEA plugins.
Security bug report detection via noise filtering and deep learning (Paper)
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
used for generating code gadgets (i.e., a number of semantically related statements)
Grammars written for ANTLR v4; expectation that the grammars are free of actions.
Implementati8on of the GSCNN
Symbolic Program Slicing with LLVM
Simplified Chinese translation for the LLVM Tutorial
Static Slicer for LLVM
Python code for common Machine Learning Algorithms
An Open-Source Package for Knowledge Embedding (KE)
PROGEX (Program Graph Extractor); a cross platform tool for extracting graphical program representations from software source code
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
a static program slicer based on LLVM IR
复现论文
Replication Package for "Revisiting the Performance Evaluation of Automated Approaches for the Retrieval of Duplicate Issue Reports"
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.