GitHub topics: ml4se
saltudelft/CD4Py
CD4Py: Code De-Duplication for Python
Language: Python - Size: 37.1 KB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 3
saltudelft/type4py
Type4Py: Deep Similarity Learning-Based Type Inference for Python
Language: Python - Size: 201 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 63 - Forks: 12
JetBrains-Research/code2seq
PyTorch's implementation of the code2seq model.
Language: Python - Size: 6.14 MB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 62 - Forks: 18
saltudelft/ml4se
A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
Size: 573 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 708 - Forks: 93
tushartushar/ML4SCA
Machine Learning for Source Code Analysis
Language: Python - Size: 4.99 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 2
EngineeringSoftware/teco
TeCo: an ML+Execution model for test completion
Language: Python - Size: 7.91 MB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 31 - Forks: 5
JetBrains-Research/psiminer
A Tool for Mining Rich Abstract Syntax Trees from Code
Language: Kotlin - Size: 753 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 58 - Forks: 12
JetBrains-Research/embeddings-for-trees
Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.
Language: Python - Size: 733 KB - Last synced at: 28 days ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 4
mir-am/ml4cgp_study
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study
Language: Python - Size: 93.8 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
saltudelft/type4py-vscode-ext
VSCode Extension of Type4Py
Language: TypeScript - Size: 5.94 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0
Alex-Mathai-98/Monolith-to-Microservices
This paper explores the idea of using heterogeneous graph neural networks (Het-GNN) to partition old legacy monoliths into candidate microservices. We additionally take membership constraints that come from a subject matter expert who has deep domain knowledge of the application.
Language: Python - Size: 261 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2
mathymess/starcoder-train-data-extraction-attack
Implementing idea from the "Extracting Training Data from Large Language Models" paper on starcoderbase-3b model
Language: Jupyter Notebook - Size: 195 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ALFA-group/adversarial-code-generation
[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly
Language: Python - Size: 16.2 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 19 - Forks: 4
SpirinEgor/gnn_pretraining
Pre-training and fine-tuning GNN model on source code
Language: Python - Size: 3.61 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1
