pinlank's Stars
lmhgithi/2019-sohu-finals
:chicken:2019搜狐校园算法大赛。决赛解决方案ppt、实体lgb单模代码
dkaslovsky/Coupled-Biased-Random-Walks
Outlier detection for categorical data
0voice/interview_internal_reference
2023年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
shanpoqq/DiagnosisDL2TF
使用TensorFlow建立简单的轴承故障诊断模型
zhangxiaoling/Bearing-fault-detection
轴承故障检测 训练赛第30名代码
pinlank/xuelangyun
工业智检电机异音AI诊断—三等奖
lucius-yu/wtf
web traffic forecasting
darkTianTian/sword-for-offer
使用Python3用优雅的方式实现《剑指Offer》中的题目。
panjianning/DCIC-2019-Credit-2th-Place
2019数字**创新大赛 消费者人群画像 亚军
panjianning/2018-shenqi-image-classification
2018 **气象“神气”算法赛-第17名
panjianning/DataCastle-Drug-Competition-1th-Place
DataCastle 基于人工智能的分子药物筛选 冠军
wangyuGithub01/Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
renxingkai/Credit_Score_Baseline
DCIC消费者人群画像-信用智能评分Baseline
xiaogang168/tianchi-jinnan
天池-津南智造
yiheng-wang-nv/Credit-Scoring-Regression
消费者人群画像—信用智能评分比赛开源
hello-sea/DeepLearning_Wavelet-LSTM
LSTM + Wavelet(长短期记忆神经网络+小波分析):深度学习与数字信号处理的结合
jmxhhyx/DCIC-The-Estimation-of-SCADA-Data-Loss-in-Offshore-Wind-Farm
We extract actual SCADA data of a certain offshore wind farm and artificially remove some of the data, including but not limited to deleting all data of a certain time period, data of a certain turbine at a certain time, some fields of a certain turbine at a certain time, etc. The applicant needs to use the remaining data to recover the deleted data, and the accuracy of the recovery shall be the final evaluation benchmark
awslabs/datawig
Imputation of missing values in tables.
audreyqyfu/LATE
Imputation of single cell RNA-sequencing data with autoencoder
Exostrike/ML_GUI_framework
General purpose framework for doing binary classification prediction using python's Sklearn
chantcalf/CCF-jijin
基金间的相关性预测
hanlaoshi/DataFountain_Fund-Correlation-Forecast_Top10
参赛者需要根据给出的基金净值、基金业绩比较基准、对应指数行情、基金间相关性等数据,构建模型、算法进行训练。然后针对大赛提供的测试样本,通过算法或模型预测出之后一段时间内基金间的相关性情况。
juzstu/TianCheng
甜橙金融初赛Rank1
shuiliwanwu/CMB-Credit_card_demand
招商银行信用卡需求预测top20
yuxiaowww/BDCI-2018-Supply-Chain-Demand-Forecast
初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛 供应链需求预测 Miracccccccle
shuiliwanwu/Rong360-Model-training-in-multiple-financial-scenarios
top1解决方案
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
duxuhao/JData-2018
Top 6 - Code for JData-2018
luoda888/CCF2018-Top2-Demand-Forecast
Solutions of the forecast problem using Xgboost
dayeren/Kaggle_Competition_Treasure
Describe past Kaggle solutions