Pytorch implementation of Pointer Network

2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

CrowdCog: A Cognitive Skill based System for Heterogeneous Task Assignment and Recommendation in Crowdsourcing

Code and Poster for NeurIPS 19 Paper

OLAR is an algorithm for optimal task assignment in the context of heterogeneous Federated Learning devices.

Precedence constrained multi-agent task assignment and path finding

Codes for paper Integrated Task Assignment and Path Planning forCapacitated Multi-Agent Pickup and Delivery

Batching and Matching for Food Delivery in Dynamic Road Networks

Implementing neural networks using basic python libraries only.

A library for mining of path-based representations of code (and more)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A PyTorch Graph Neural Network Library

Funcom Source Code Summarization Tool - Public Release

NaturalCC: An Open-Source Toolkit for Code Intelligence

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Official implementation of our work, 'GypSum: Learning Hybrid Representations for Code Summarization'.

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Reading Wikipedia to Answer Open-Domain Questions

CodeXGLUE

CodeBERT

Replication of the paper "Structured Neural Summarization" which uses Graph Neural Networks and Seq2Seq models to summarize natural language and source code.

Official implementation of our work, A Transformer-based Approach for Source Code Summarization [ACL 2020].

Hybrid-DeepCom implemented by Pytorch

an implementation of "code2vec: Learning Distributed Representations of Code"

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

A PyTorch implementation of `code2vec: Learning Distributed Representations of Code` (Alon et al., 2018)