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senti_analysis

利用Python实现酒店评论的中文情感分析

sentiment-analysis-1

Chinese Shopping Reviews sentiment analysis

sentiment-analysis-2

使用CNN网络对用户评论进行情感分析

sentiment_analysis

使用深度学习方法对IMDB电影评价做情感分析，使用的方法分别为：MLP、BiRNN、BiGRU+Attention Model

sentiment_analysis_textcnn

基于tensorflow 实现的用textcnn方法做情感分析的项目，有数据，可以直接跑。

sentimentanalysis_lstm

基于Keras使用LSTM对电商评论进行情感分析

sentimentpolarityanalysis

情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。

seq2seq

Sequence to Sequence Learning with Keras

seq2seq_chatbot_new

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

service-streamer

Boosting your Web Services of Deep Learning Applications.

siamese-lstm

基于siamese的对句子的相似性算法

siamesesentencesimilarity

SiameseSentenceSimilarity,个人实现的基于Siamese bilstm模型的相似句子判定模型,提供训练数据集和测试数据集.

simple-chinese-ocr

A Simple Chinese OCR from tipdm contest

simple-effective-text-matching-pytorch

A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

simple_tensorflow_serving

Generic and easy-to-use serving service for machine learning models

simpler_glove

A Simpler GloVe model for distributed word representation

simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

skulpt

Skulpt is a Javascript implementation of the Python programming language

sltk

SLTK，序列化标注工具，实现BiLSTM-CRF模型，并利用pytorch实现了高效的数据加载模块。

smrctoolkit

This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

sna_weibo_py

用于微博的抓取与图的建立

spm_toolkit

Neural network toolkit for sentence pair modeling.

squad-explorer

Visually Explore the Stanford Question Answering Dataset

srnn

stanford-machine-learning-camp

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

summary

The repo will be private and re-open to clear the stars if its number reaches the top 6.

supportnet

SupportNet: solving catastrophic forgetting in class incremental learning with support data

swem

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

tcamp-week2

好未来第二周-自动评分