lurrybryant

lurrybryant's Stars

• nosuggest/deep_learning

  基础的深度学习实验研究结果汇总笔记

  Language:Python502258

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.4k616

• reczoo/FuxiCTR

  A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

  Language:Python936159

• PaddlePaddle/PaddleRec

  Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

  Language:Python4.3k723

• jc-LeeHub/Recommend-System-tf2.0

  原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

  Language:Python650216

• cjwallace/distributed-sklearn-scoring

  Demo scripts training a scikit-learn model locally and distributing compute with Pandas UDFs in PySpark.

  Language:Python2

• Causal-ML-Study-Group/causal-ml-reading

  A curated list of references on causal ML

  22

• jvpoulos/causal-ml

  Must-read papers and resources related to causal inference and machine (deep) learning

  675125

• Ibotta/mr_uplift

  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses

  Language:Python6613

• jpmml/jpmml

  Java PMML API (legacy codebase)

  Language:Java8043

• xiaogp/customer_churn_prediction

  零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结

  Language:Python6617

• databricks/Spark-The-Definitive-Guide

  Spark: The Definitive Guide's Code Repository

  Language:Scala2.9k2.8k

• SnailDove/Translation_Spark-The-Definitive-Guide

  Translation of the book,"Spark-The-Definitive-Guide", from English into Chinese. 书籍 《Spark权威指南》翻译

  10323

• PacktPublishing/Machine-Learning-with-Spark

  Create scalable machine learning applications to power a modern data-driven business using Spark

  Language:Jupyter Notebook6058

• PacktPublishing/Apache-Spark-2x-Machine-Learning-Cookbook

  Apache Spark 2x Machine Learning Cookbook, published by Packt

  Language:Scala2841

• PacktPublishing/Advanced-Machine-Learning-with-Spark-2.x

  Advanced Machine Learning with Spark 2.x [video], published by Packt

  Language:Scala96

• PacktPublishing/Large-Scale-Machine-Learning-with-Spark

  Code repository for Large Scale Machine Learning with Spark by Packt

  2020

• PacktPublishing/Mastering-Machine-Learning-with-Spark-2.x

  Mastering Machine Learning with Spark 2.x, published by Packt

  Language:Scala4326

• PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3

  Spark Programming in Scala for Beginners with Apache Spark 3, published by Packt

  Language:HTML713

• PacktPublishing/Machine-Learning-with-Spark-Second-Edition

  Machine Learning with Spark - Second Edition, by Packt

  Language:Scala114116

• spirom/LearningSpark

  Scala examples for learning to use Spark

  Language:Scala444291

• mengdong/xgboostsparkexample

  spark example for xgboost4j

  Language:Shell21

• xieliaing/CausalInferenceIntro

  Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

  Language:Jupyter Notebook648121

• wayfair/pylift

  Uplift modeling package.

  Language:Python37178

• Minyus/causallift

  CausalLift: Python package for causality-based Uplift Modeling in real-world business

  Language:Python34142

• py-why/causal-learn

  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

  Language:Python1.2k194

• maks-sh/scikit-uplift

  :exclamation: uplift modeling in scikit-learn style in python :snake:

  Language:Python73398

• FenTechSolutions/CausalDiscoveryToolbox

  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

  Language:Python1.1k199

• brylevkirill/notes

  Learn about Machine Learning and Artificial Intelligence

  916237

• jrfiedler/causal_inference_python_code

  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

  Language:Jupyter Notebook1.3k387