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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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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

stock-predict

预测A股所有股票涨跌

storyforest

This repository implements the system described in "Growing Story Forest Online from Massive Breaking News"

study-materials

materials for learning the rudiments of ML/DL

stylegan

StyleGAN - Official TensorFlow Implementation

subway_traffic_forecast-tianchi

天池全球城市计算AI挑战赛-地铁人流量预测 A榜22/2319

subword-nmt

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

supervised-term-weighting

Supervised Term Weighting Schemes for Text Classification

swdm

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

synonym_detection

同义词挖掘算法

synonyms

:herb: 中文近义词：聊天机器人，智能问答工具包

synsetmine-pytorch

PyTorch implementation of paper "Mining Entity Synonyms with Efficient Neural Set Generation" in AAAI 2019

talkingdata

Kaggle TalkingData AdTracking Fraud Detection Challenge 48th solution

talkingdata-1

TalkingData AdTracking Fraud Detection Challenge

talkingdata-2

TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition

talkingdata-adtracking-fraud-detection

My solution for TalkingData AdTracking Fraud Detection Challenge (https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection/)

talos

Hyperparameter Optimization for Keras Models

taxi

Winning entry to the Kaggle taxi competition

taxoexpan

The source code used for self-supervised taxonomy expansion method TaxoExpan, published in WWW 2020

tech_aarticle

深度学习各种模型实战-深度学习模型在各大公司实际生产环境的应用讲解文章，涉及到搜索(Query理解，召回，排序)/推荐(召回，排序)/自然语言处理(文本分类，文本相似度判定，文本匹配，文本生成，命名体识别)

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

tencent-ad-game

第二届腾讯广告算法大赛（Rank 9） http://algo.tpai.qq.com/home/rankinglist/rankingList

tencent-competition----conversion-rate-estimation

【腾讯社交广告算法大赛_决赛排名35】以移动app广告为研究对象，根据给定广告、用户和上下文情况信息，预测app广告点击后被激活的概率

tencent-contest

tencent-ml-images

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

tencent2017_final_coda_allegro

腾讯2017社交广告源码（决赛排名第23位）

tencent2017_final_rank28_code

2017第一届腾讯社交广告高校算法大赛Rank28_code

tencent2018_lookalike_rank10th

2018年腾讯广告算法大赛Rank10代码：深度部分

tencent2018_lookalike_rank7th

The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.