google-research / python-graphsLinks
A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.
☆334Updated last year
Alternatives and similar repositories for python-graphs
Users that are interested in python-graphs are comparing it to the libraries listed below
Sorting:
- Pretrained Language Models for Source code☆254Updated 4 years ago
- PyNeuraLogic lets you use Python to create Differentiable Logic Programs☆294Updated 2 months ago
- Implementation of the paper "Language-agnostic representation learning of source code from structure and context".☆169Updated 3 years ago
- Replication Code for "Self-Supervised Bug Detection and Repair" NeurIPS 2021☆111Updated 2 years ago
- Website for "A Survey of Machine Learning for Big Code and Naturalness"☆290Updated 5 months ago
- Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning☆167Updated 3 years ago
- [ICML 2020] DrRepair: Learning to Repair Programs from Error Messages☆194Updated 4 years ago
- PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. W…☆87Updated 3 years ago
- [ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair☆116Updated 2 years ago
- This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (Neur…☆536Updated 5 months ago
- Utilities used by the Deep Program Understanding team☆102Updated 2 years ago
- Generative model for code infilling and synthesis☆304Updated 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
- Data and Code for Reproducing "Global Relational Models of Source Code"☆84Updated 4 years ago
- A redistributable subset of the ETH Py150 corpus [https://www.sri.inf.ethz.ch/py150], introduced in the ICML 2020 paper 'Learning and Eva…☆31Updated 4 years ago
- Training language models to make programs faster☆91Updated last year
- A PyTorch Graph Neural Network Library☆376Updated 3 years ago
- VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning☆39Updated 2 years ago
- Type4Py: Deep Similarity Learning-Based Type Inference for Python☆65Updated last year
- Probing pre-trained source code models☆15Updated 3 years ago
- Rax is a Learning-to-Rank library written in JAX.☆330Updated last month
- A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic re…☆165Updated 3 years ago
- Fork of the awesome function_parser library from Github's CodeSearchNet Challenge repo: https://github.com/github/CodeSearchNet/tree/mast…☆29Updated 2 years ago
- Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].☆187Updated 3 years ago
- CodeBERTScore: an automatic metric for code generation, based on BERTScore☆195Updated last year
- Library that contains implementations of machine learning components in the hyperbolic space☆138Updated last year
- Fast tokenization and structural analysis of any programming language☆57Updated 6 months ago
- General-purpose program synthesiser☆46Updated 8 months ago
- Code for "Generative Code Modeling with Graphs" (ICLR'19)☆173Updated 2 years ago
- Code for ICML 2021 paper: How could Neural Networks understand Programs?☆124Updated 8 months ago