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ai-comp

AI-Challenger Baseline 细粒度用户评论情感分析

al_challenger_2018_sentiment_analysis

AI Challenger 2018 细粒度用户评论情感分析，排名17th，基于Aspect Level 思路的解决方案

algorithm_interview_notes-chinese

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

analog-maxsat-solver

Many real-life optimization problems can be formulated in Boolean logic as MaxSAT. Here we present a continuous-time analog solver for MaxSAT and show that one can predict the maximum number of satisfiable constraints, often well before finding the optimal assignment.

bert-chinese-ner

使用预训练语言模型BERT做中文NER

bidaf-pytorch

Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

demo

dl-for-chatbot

Deep Learning / NLP tutorial for Chatbot Developers

elmoformanylangs

Pre-trained ELMo Representations for Many Languages

eventtriplesextraction

EventTriplesExtraction based on dependency parser and semantic role labeling, 基于依存句法与语义角色标注的事件三元组抽取

good-papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

kbqa

基于知识库的问答：seq2seq模型实践

knowledge-graph

Creates knowledge graph from information processed by "Entity Extraction and Linking" module, and "Emotion Recognition from Text" module

knowledge-graph-analysis-programming-exercises

Exercises for the Analysis of Knowledge Graphs

knowledge_graph_demo

This is a demo for a simple knowledge graph.

learning-spark

Example code from Learning Spark book

leetcode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

linguistically-regularized-lstm-for-sentiment-classification

Paper notes: Linguistically Regularized LSTM for Sentiment Classification

ner-crf-pytorch

ner-pytorch

LSTM+CRF NER

ner_blstm-crf

LSTM-CRF for NER with ConLL-2002 dataset

nlquery

Natural Language Engine on WikiData

np_vs_xxx

learning new package by comparing the numpy result

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pytorch-chatbot

Pytorch seq2seq chatbot

pytorch-notes

pytorch学习笔记

pytorch-relation-extraction

relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取