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1. Forked from Jacob-yen/GRIST

   This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-propagation.

   Python 1

2. Forked from Jacob-yen/numerical_bugs_in_dl_programs

   This repository contains the issues and posts of our work An Empirical Study on Numerical Bugs in Deep Learning Programs. We list these issues and posts in four markdown files as follows.

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3. Forked from llylly/RANUM

   [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.

   Python

5. Forked from ForeverZyh/DEBAR

   This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Architectures.

   Python 1