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Static call graph generator. The official Python 3 version. Development repo.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
A full Python Implementation of the ROUGE Metric (not a wrapper)
Python bindings to the Tree-sitter parsing library
Datasets, tools, and benchmarks for representation learning of code.
A library for mining of path-based representations of code (and more)
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Datasets I have created for scientific summarization, and a trained BertSum model
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A redistributable subset of the ETH Py150 corpus [https://www.sri.inf.ethz.ch/py150], introduced in the ICML 2020 paper 'Learning and Evaluating Contextual Embedding of Source Code' [https://procee…
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Code Generation as a Dual Task of Code Summarization.
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
Code for the ICPC 2020 paper Improved Source Code Summarization via a Graph Neural Network
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Repository for the paper "Optimal Subarchitecture Extraction for BERT"
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
😺 Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
Python call graph visualization for recursive functions.
Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.
Official implementation of our work, A Transformer-based Approach for Source Code Summarization [ACL 2020].
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
An efficient implementation of tree data structure in python 2/3.