awsm-research / PyExplainerLinks
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
☆30Updated last year
Alternatives and similar repositories for PyExplainer
Users that are interested in PyExplainer are comparing it to the libraries listed below
Sorting:
- Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (…☆26Updated 4 years ago
- an implementation of "code2vec: Learning Distributed Representations of Code"☆30Updated last year
- ☆51Updated 3 years ago
- Replication Code for "Self-Supervised Bug Detection and Repair" NeurIPS 2021☆111Updated 3 years ago
- ☆22Updated 5 years ago
- ☆36Updated 4 years ago
- ManyTypes4Py: A benchmark Python dataset for machine learning-based type inference☆23Updated 3 years ago
- ☆15Updated 3 years ago
- ☆16Updated 5 years ago
- Code for "Typilus: Neural Type Hints" PLDI 2020☆62Updated 2 years ago
- Github defect dataset for software defect prediction☆41Updated 4 years ago
- Open-science repo for our experimental results of automatic software repair on the Defects4J benchmark of Java bugs☆37Updated 2 months ago
- Code implementation for CoTexT: Multi-task Learning with Code-Text Transformer☆36Updated 4 years ago
- This is the tool released in ICSE 2022 paper "Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python"☆46Updated 2 years ago
- mBERT is a mutation testing tool that uses a pre-trained language model (CodeBERT) to generate mutants.☆16Updated 5 months ago
- open science repo of "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code" https://arxiv.org/pdf/2104.08308☆63Updated last year
- ☆12Updated 2 years ago
- An implementation of the SZZ algorithm, i.e., an approach to identify bug-introducing commits.☆127Updated 2 years ago
- Reproduction package of the paper "DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning" in Automated S…☆20Updated 2 years ago
- Source Code Data Augmentation for Deep Learning: A Survey.☆66Updated last year
- ☆30Updated 4 years ago
- CFG based program similarity using Graph Neural Networks☆36Updated 2 years ago
- ☆29Updated 3 years ago
- Mining Relevant Fix Patterns for Automated Program Repair☆31Updated 3 years ago
- ☆38Updated 4 years ago
- ML models often mispredict, and it is hard to tell when and why. We present a data mining based approach to discover whether there is a c…☆17Updated 3 years ago
- DeepLocalize: Fault Localization for Deep NeuralNetworks☆27Updated 4 years ago
- BugsInPy: Benchmarking Bugs in Python Projects☆122Updated 2 weeks ago
- Research Acceleration Platform that provides interface to multiple state-of-the-art program analysis tools including but not limited to f…☆75Updated last year
- Multi-granularity vulnerability detection with a novel pre-trained code model☆18Updated last month