Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
TensorFlow code and pre-trained models for BERT
Graph Neural Network Library for PyTorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
TensorFlow implementation of GoogLeNet and Inception for image classification.
NaturalCC: An Open-Source Toolkit for Code Intelligence
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
Neural Code Comprehension: A Learnable Representation of Code Semantics
Python实现经典分类回归、关联分析、聚类以及推荐算法等
Official implementation of our work, A Transformer-based Approach for Source Code Summarization [ACL 2020].
albert + lstm + crf实体识别,pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)
This repo will contain replication package for the paper "Feeding Trees to Transformers for Code Completion"
Contains the code for our ICSE 2020 paper: Big Code != Big Vocabulary: Open-Vocabulary Language Models for Source Code and for its earlier pre-print: Maybe Deep Neural Networks are the Best Choice …
Data and Code for Reproducing "Global Relational Models of Source Code"
A repository with the code for the paper with the same title
Code for the ICPC 2020 paper Improved Source Code Summarization via a Graph Neural Network
Simple implementation of the paper (DnCNN)'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising'
A toolkit for pre-processing large source code corpora