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small-chinese-corpus

Some useful Chinese corpus datasets 中文语料小数据

smp2018

smp2018 contest ( distinguish human writing or robot writing from news )

smpcup2016

2nd Place Solution for SMP CUP 2016

smpcup2017_palm

2nd place for total score, 1st place for task2

smt

Statistical Machine Translation implementation with Python: especially IBM Model1, 2, and phrase-based machine translation.

sohu2021-baseline

2021搜狐校园文本匹配算法大赛baseline

sohu2022-nlp-rank1

2022搜狐校园算法大赛NLP赛道第一名开源方案（实验代码）

sohu_competition

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

sohu_text_matching

2021搜狐校园文本匹配算法大赛 分比我们低的都是帅哥队

sohu_text_matching_rank2

solution-meinian-disease-risk-prediction-1st-in-round1-14th-in-round2

阿里云天池算法大赛-美年大健康双高风险预测的解决方案

spam_filtering

NLP 短文本 评论 垃圾 过滤

spanabsa

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

spark-knn-recommender

Item and User-based KNN recommendation algorithms using PySpark

spark-nlp

State of the Art Natural Language Processing

spark-recommender

一些基于Spark的推荐算法实现

sparklearning

Learning Apache spark,including code and data .Most part can run local.

sparkml

基于SparkML2.0进行的Kaggle、JData等比赛

sparrowrecsys

A Deep Learning Recommender System

spatio-temporal-clustering

使用numpy实现的聚类算法（包括时空聚类算法）

spellgcn

SpellGCN

spert

PyTorch code for SpERT: Span-based Entity and Relation Transformer

spherical-text-embedding

[NeurIPS 2019] Spherical Text Embedding

ssd_keras

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

stackexchange-transfer-learning

Kaggle top 1% solution for transfer learning

stacking

this is a stacking classifier with built-in parameter-tuning and feature selection featues

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

starspace

Learning embeddings for classification, retrieval and ranking.

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法