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2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Pay "Attention'' to your Context when Classifying Abusive Language
An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction
An implementation for SemEval 2018 Task 11: Machine Comprehension using Commonsense Knowledge
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
Python port of the Twokenize class of ark-tweet-nlp
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model
Our light reimplement of bert for keras
Pytorch implementation of "Graph Convolutional Networks for Text Classification"
利用keras搭建的胶囊网络(capsule network文本分类模型,包含RNN、CNN、HAN等,其中keras_utils包含了capsule层和attention层的keras实现
Chinese Data Competitions' Solutions
A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras
Visualizations of character embeddings from derived character vectors.
The paper "Classification of hate speech and abusive language based on attention selection mechanism with multi-granularity embedding(MGE) " coed
The code for contextual sentiment embeddings
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
Library for fast text representation and classification.
Source code of the experiment documented in: Pitsilis G.K, Ramampiaro, H., Langseth, H., “Detecting Offensive Language in Tweets Using Deep Learning”, 2018/1/13, arXiv preprint arXiv:1801.04433.
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
Implementation of IndRNN in Keras
Implementation of Simple Recurrent Unit in Keras
Targeted dropout implemented in Keras
中文长文本分类、短句子分类、多标签分类(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, ENT, DMN,
My blogs and code for machine learning. http://cnblogs.com/pinard
Coding the Machine Learning Tutorial for Learning to Learn
《神经网络与深度学习》 Neural Network and Deep Learning
This is the code in <Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting> which has been accepted by ACL 2020
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.