Alternatives and similar repositories for GRIST

Users that are interested in GRIST are comparing it to the libraries listed below

• Jacob-yen / LEMON
  This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.
  ☆55Updated 2 years ago
• llylly / RANUM
  [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.
  ☆13Updated 2 years ago
• ise-uiuc / FreeFuzz
  Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)
  ☆82Updated 3 years ago
• ise-uiuc / neuri-artifact
  Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"
  ☆32Updated 2 years ago
• ForeverZyh / DEBAR
  This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Ar…
  ☆25Updated 5 years ago
• library-testing / Muffin
  This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.
  ☆33Updated 3 years ago
• ise-uiuc / DeepREL
  Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)
  ☆40Updated 2 years ago
• shiningrain / AUTOTRAINER
  An Automatic DNN TrainingProblem Detection and Repair System
  ☆20Updated 2 years ago
• shijy16 / ACETest
  For our ISSTA'23 paper ACETest: Automated Constraint Extraction for Testing Deep Learning Operators
  ☆13Updated last year
• lin-tan / DocTer
  For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Ki…
  ☆39Updated 3 years ago
• ForeverZyh / TensorFlow-Program-Bugs
  This repository contains the dataset of our ISSTA 2018 paper: An Empirical Study on TensorFlow Program Bugs.
  ☆29Updated 5 years ago
• ise-uiuc / NablaFuzz
  Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)
  ☆28Updated last year
• ZhenlanJi / DL_CC
  CC: Causality-Aware Coverage Criterion for Deep Neural Networks
  ☆12Updated 2 years ago
• kupl / adapt
  ADAPT is the open source white-box testing framework for deep neural networks
  ☆22Updated 2 years ago
• DLFrameworkBug / DLFrameworkBugsData
  a data collection of related work: Toward Understanding Deep Learning Framework Bugs
  ☆16Updated 2 years ago
• lin-tan / eagle
  For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qia…
  ☆13Updated 2 years ago
• longph1989 / Socrates
  ☆26Updated 2 years ago
• aprime-lab / se-paper
  ☆74Updated 2 years ago
• ise-uiuc / WhiteFox
  WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models (OOPSLA 2024)
  ☆75Updated 5 months ago
• turned2670 / DLFuzz
  DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems
  ☆52Updated 7 years ago
• soarsmu / attack-pretrain-models-of-code
  Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022
  ☆49Updated 2 months ago
• uw-pluverse / pluverse-latex-style-guide
  ☆26Updated last week
• eth-sri / robust-code
  Adversarial Robustness for Code
  ☆16Updated 4 years ago
• ganler / memcov
  Collect simple coverage information in memory.
  ☆11Updated 3 years ago
• iSEngLab / AwesomeLearningAPR
  [TOSEM 2023] A Survey of Learning-based Automated Program Repair
  ☆75Updated last year
• xlab-uiuc / cdep-fse-ae
  Configuration dependency analysis for cloud software
  ☆23Updated 4 years ago
• deepgini / deepgini
  ☆19Updated 6 years ago
• pxzhang94 / ADF
  White-box Fairness Testing through Adversarial Sampling
  ☆13Updated 4 years ago
• ise-uiuc / TitanFuzz
  ☆90Updated 2 years ago
• tech-srl / adversarial-examples
  Code for the paper: "Adversarial Examples for Models of Code"
  ☆18Updated 5 years ago