SMAT-Lab / SnifferDog
Restoring Execution Environments of Jupyter Notebooks
☆21Updated last year
Alternatives and similar repositories for SnifferDog:
Users that are interested in SnifferDog are comparing it to the libraries listed below
- 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…☆18Updated 2 years ago
- ManyTypes4Py: A benchmark Python dataset for machine learning-based type inference☆22Updated 2 years ago
- ☆15Updated 3 years ago
- an implementation of "code2vec: Learning Distributed Representations of Code"☆30Updated 8 months ago
- The dataset for the variable-misuse task, used in the ICLR 2020 paper 'Global Relational Models of Source Code' [https://openreview.net/f…☆22Updated 4 years ago
- A toolkit for pre-processing large source code corpora☆47Updated 2 years ago
- PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. W…☆87Updated 2 years ago
- Flow graphs for Python☆25Updated 2 years ago
- Data and Code for Reproducing "Global Relational Models of Source Code"☆83Updated 3 years ago
- Code for "Typilus: Neural Type Hints" PLDI 2020☆60Updated 2 years ago
- MODIT: On Multi-Modal Learning of Editing Source Code.☆20Updated 3 years ago
- VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning☆38Updated 2 years ago
- A Systematic Literature Review of Deep Learning in Software Engineering☆19Updated 6 months ago
- C# Data Extraction for "Learning to Represent Edits"☆26Updated 6 years ago
- Code Snippet Recommendation from Stack Overflow Post☆18Updated 3 years ago
- Mining tool and large-scale datasets of single statement bug fixes in Python☆15Updated last year
- Source Code Data Augmentation for Deep Learning: A Survey.☆64Updated 8 months ago
- This is the repository for the paper Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descripti…☆25Updated 2 years ago
- Code for ICML 2021 paper: How could Neural Networks understand Programs?☆123Updated 4 months ago
- ☆5Updated last year
- ☆20Updated 2 years ago
- Code for "Deep Graph Matching and Searching for Semantic Code Retrieval"☆24Updated 3 years ago