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awesome-seml icon awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications.

builderbook icon builderbook

Open-source web app. Built with React, Material-UI, Next, Express, Mongoose, MongoDB.

code2vec icon code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

cuglm icon cuglm

The dataset and source code for CugLM

deepbugs icon deepbugs

DeepBugs is a framework for learning bug detectors from an existing code corpus.

defects4j icon defects4j

A Database of Existing Faults to Enable Controlled Testing Studies for Java

distil icon distil

An analytic workbench for user-guided development of model pipelines

dytan icon dytan

Dytan Taint Analysis Framework on Linux 64-bit

e3372h-vendor-src icon e3372h-vendor-src

Huawei E3372h source code from http://consumer.huawei.com/en/support/downloads/detail/index.htm?id=56443

home icon home

The Themis Benchmark for evaluating automated GUI testing

icse2021_421 icon icse2021_421

This is the artifact for paper “Are Machine Learning Cloud APIs Used Correctly? (#421)” in ICSE2021

icse2022_158 icon icse2022_158

This is the artifact for paper “Automated Testing of Software that Uses Machine Learning APIs (#158)” in ICSE2022

jit-fine icon jit-fine

this is the repository for the paper titled "The Best of Both Worlds: Integrating Semantic Features with Expert Features for Defect Prediction and Localization" accepted by FSE'22.

linevd icon linevd

Statement-level deep learning model for automated software vulnerability detection in C/C++ (Accepted in MSR 2022)

linevul icon linevul

A Transformer-based Line-Level Vulnerability Prediction

machine-learning-roadmap icon machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

make icon make

A little repository to keep track of our changes to GNU Make 3.82.

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