Alternatives and similar repositories for Machine-Learning-From-Scratch:

Users that are interested in Machine-Learning-From-Scratch are comparing it to the libraries listed below

• shenweichen / ctrip14
  科赛 携程出行产品未来14个月销量预测 第2名
  ☆63Updated 7 years ago
• AlanConstantine / KDD-Cup-2019-CAMMTR
  Context-Aware Multi-Modal Transportation Recommendation
  ☆38Updated 5 years ago
• ChuanyuXue / JDD-Sales-Prediction-Contest
  京东ＪＤＤ大数据比赛解决方案(baseline)
  ☆19Updated 6 years ago
• ChuanyuXue / MVTest
  A Distribution-Free Test of Independence Based on Mean Variance Index.
  ☆24Updated 9 months ago
• zsyandjyhouse / TencentAD_contest
  第一届腾讯社交广告算法大赛
  ☆40Updated 7 years ago
• DominickZhang / KDDCup2019_admin
  Our solutions for KDDCup2019 as team "admin"
  ☆14Updated 5 years ago
• shiwang0211 / kdd_cup_2019
  Solution to KDD Cup 2019 ML competition using LightGBM and Deep FM
  ☆13Updated 5 years ago
• vinklibrary / jdata_code
  用户对品类下店铺的购买预测
  ☆26Updated 5 years ago
• IceSuger / yancheng-sales
  天池-印象盐城-汽车销量预测大赛
  ☆36Updated 7 years ago
• Magic-Bubble / Mobike
  摩拜杯 算法挑战赛 第三名 解决方案
  ☆107Updated 6 years ago
• coorty / ATEC_Payment_Risk_Recognition_Competition
  ATEC蚂蚁开发者大赛-风险大脑-支付风险识别
  ☆18Updated 6 years ago
• ryancheunggit / kddcup2018-of-fresh-air
  #30 at KDD CUP 2018 https://biendata.com/competition/kdd_2018/
  ☆42Updated 6 years ago
• Kang9779 / 2019-kaggle-elo-top-11-solution
  Kaggle elo competition top gold medal solution
  ☆13Updated 5 years ago
• lisette-espin / pychimerge
  ChiMerge: Discretization of Numeric Attributes
  ☆41Updated 9 years ago
• xiaoqiangkx / toyplay
  ☆13Updated 7 years ago
• yzkang / QH_FInSight
  国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
  ☆87Updated 6 years ago
• Dojocat-GO / Tencent2017_Final_Rank28_code
  2017第一届腾讯社交广告高校算法大赛Rank28_code
  ☆84Updated 7 years ago
• duoan / ijcai18-mama-ads-competition
  IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
  ☆74Updated 6 years ago
• batch-norm / JDD-2017
  JDD-2017 京东金融大数据竞赛-销量预测-15th/889队
  ☆37Updated 7 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 5 years ago
• jasonfreak / ple
  基于sklearn，强化Pipeline和FeatureUnion两个类。对FeatureUnion类，使其支持部分数据处理；对两者，增加特征转换行为记录的功能。
  ☆29Updated 8 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 6 years ago
• ShaoQiBNU / ESMM
  阿里巴巴ESMM模型解读
  ☆41Updated 4 years ago
• DrJZhou / KDD_CUP_2018
  KDD CUP 2018
  ☆128Updated 6 years ago
• martin-1992 / data_process
  比赛常用的特征工程、类别不平衡处理方法
  ☆16Updated 6 years ago
• LitoWang / recommendation_papers
  paper collection for recommendation aspet
  ☆37Updated 4 years ago
• yinyajun / Details-In-Recommendation
  Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…
  ☆19Updated 5 years ago
• wnzhang / rtb-unbiased-learning
  ☆18Updated 8 years ago
• tanyokwok / Di-tech
  滴滴出行供需预测大赛--十强
  ☆44Updated 8 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆46Updated 8 years ago