SMAT-Lab / SnifferDog
Restoring Execution Environments of Jupyter Notebooks
☆22Updated last year
Alternatives and similar repositories for SnifferDog
Users that are interested in SnifferDog are comparing it to the libraries listed below
Sorting:
- ManyTypes4Py: A benchmark Python dataset for machine learning-based type inference☆23Updated 3 years ago
- an implementation of "code2vec: Learning Distributed Representations of Code"☆30Updated 10 months ago
- Source Code Data Augmentation for Deep Learning: A Survey.☆64Updated 11 months ago
- Type4Py: Deep Similarity Learning-Based Type Inference for Python☆63Updated last year
- 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
- Flow graphs for Python☆26Updated 2 years ago
- ☆15Updated 3 years ago
- BugsInPy: Benchmarking Bugs in Python Projects☆99Updated 10 months ago
- ☆23Updated 2 years ago
- ☆25Updated 3 years ago
- PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. W…☆88Updated 3 years ago
- ☆28Updated 2 years ago
- A learning-guided approach for executing arbitrary Python code snippets☆18Updated last year
- Data and Code for Reproducing "Global Relational Models of Source Code"☆84Updated 4 years ago
- ☆41Updated 2 years ago
- MODIT: On Multi-Modal Learning of Editing Source Code.☆20Updated 4 years 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
- Official code of our work, AVATAR: A Parallel Corpus for Java-Python Program Translation.☆54Updated 9 months ago
- VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning☆38Updated 2 years ago
- Code for "Typilus: Neural Type Hints" PLDI 2020☆60Updated 2 years ago
- A toolkit for pre-processing large source code corpora☆47Updated 2 years ago
- ☆33Updated this week
- Code for ICML 2021 paper: How could Neural Networks understand Programs?☆124Updated 6 months ago
- TeCo: an ML+Execution model for test completion☆31Updated 11 months ago
- Seq2seq Type Inference using Static Analysis and CodeT5☆31Updated last year
- FOCUS is a context-aware collaborative-filtering system that exploits cross relationships among OSS projects to suggest the inclusion of …☆22Updated last year
- Web queries dataset for code search☆32Updated last year
- CoditT5: Pretraining for Source Code and Natural Language Editing☆28Updated 4 months ago
- Program analysis tools built on tree-sitter (https://github.com/tree-sitter/tree-sitter).☆40Updated last year
- ☆13Updated last year