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☆253Updated 4 years ago
- Implementation of the paper "Language-agnostic representation learning of source code from structure and context".☆169Updated 3 years ago
- Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning☆167Updated 3 years ago
- [ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair☆113Updated 2 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
- Utilities used by the Deep Program Understanding team☆102Updated 2 years ago
- This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (Neur…☆534Updated 5 months ago
- Data and Code for Reproducing "Global Relational Models of Source Code"☆84Updated 4 years ago
- Replication Code for "Self-Supervised Bug Detection and Repair" NeurIPS 2021☆111Updated 2 years ago
- PyNeuraLogic lets you use Python to create Differentiable Logic Programs☆293Updated last month
- [ICML 2020] DrRepair: Learning to Repair Programs from Error Messages☆195Updated 4 years ago
- Generative model for code infilling and synthesis☆302Updated last year
- Probing pre-trained source code models☆15Updated 3 years ago
- Training language models to make programs faster☆90Updated last year
- 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
- Website for "A Survey of Machine Learning for Big Code and Naturalness"☆290Updated 4 months ago
- Code for ICML 2021 paper: How could Neural Networks understand Programs?☆124Updated 7 months ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations☆318Updated last year
- Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].☆188Updated 3 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- Data and code for "DocPrompting: Generating Code by Retrieving the Docs" @ICLR 2023☆248Updated last year
- ☆25Updated 3 years ago
- Lightweight Experiment & Resource Monitoring 📺☆187Updated 2 years ago
- VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning☆39Updated 2 years ago
- Hopular: Modern Hopfield Networks for Tabular Data☆311Updated 3 years ago
- Hoppity☆59Updated 4 years ago
- Code for "Generative Code Modeling with Graphs" (ICLR'19)☆173Updated 2 years ago
- NaturalCC: An Open-Source Toolkit for Code Intelligence☆298Updated last week
- An interactive exploration of Transformer programming.☆264Updated last year