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absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

adversarialnetspapers

The classical paper list with code about generative adversarial nets

ai-comp

AI-Challenger Baseline 细粒度用户评论情感分析

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

architecture

Architecture for big data management

attentionxml

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-classification-tutorial

biaffineparser

biaffineparser: Deep Biaffine Attention Dependency Parser

bist-parser

Graph-based and Transition-based dependency parsers based on BiLSTMs

chatbotcourse

自己动手做聊天机器人教程

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

chinese_ulmfit

中文ULMFiT 情感分析 文本分类

clausie

Updated ClausIE to work w/Stanford NLP 3.6 & Universal Dependencies.

cnn-text-classification-tf-master

CNN for sentence classification

convlab

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

dependency_parsing_tf

Tensorflow implementation of "A Fast and Accurate Dependency Parser using Neural Networks"

doccano

Open source text annotation tool for machine learning practitioner.

fake-news

The goal is to develop prediction models able to identify which news is fake. The data we will manipulate is from http://www.politifact.com. The input contains of short statements of public figures (and sometimes anonymous bloggers), plus some metadata. The output is a truth level, judged by journalists at Politifact. They use six truth levels which we coded into integers to obtain an ordinal regression problem: 0: 'Pants on Fire!' 1: 'False' 2: 'Mostly False' 3: 'Half-True' 4: 'Mostly True' 5: 'True' You goal is to classify each statement (+ metadata) into one of the categories.

fastai

The fastai deep learning library, plus lessons and and tutorials

hello_world

This is the first repository i create for tutorial.

hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

information-extraction

jack

Jack the Reader

kaggle-jigsaw-multilingual-toxic-comment-classification-3rd-place-solution

knowledge-base

To build a knowledge base under the guidance of the teacher: Fabian Suchanek