clairett

pytorch-sentiment-classification

LSTM and CNN sentiment analysis

Deep-Memory-Network

Implement deep memory network used for Aspect Level Sentiment Classification

unified-summarization

STTM

40-Thai-Children-Stories

Data set for Thai Sentiment Analysis

ABSC

aspect-based sentiment classification

Aspect-Sentiment

Implement a topic sentiment method with Pytorch

attention

some attention implements

attn_vis

Interactive in-browser attention visualizer tool for recurrent networks

bert-vocab-builder

Builds wordpiece(subword) vocabulary compatible for Google Research's BERT

docnade

TensorFlow implementation of DocNADE

fast-bert

Super easy library for BERT based NLP models

fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

fastText

Library for fast text representation and classification.

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

GPUDMM

Topic Modeling for Short Texts with Auxiliary Word Embeddings

headlines

Automatically generate headlines to short articles

LabeledLDA

Labeled LDA in Python

mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

NAS_FPN_Tensorflow

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

PyShortTextCategorization

Various Algorithms for Short Text Categorization

pytorch-openai-transformer-lm

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-pretrained-BERT

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

SR-GNN

Source code and datasets for paper "Session-based Recommendation with Graph Neural Networks"

TD-LSTM

Attention-based Aspect-term Sentiment Analysis implemented by tensorflow.

text2ldac

python command line tool that takes a directory containing .txt files as input and generates three output files that can be used by the ldac or hlda implementations by David Blei

TinyBERT

Unsupervised-Aspect-Extraction

Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"