wyf1995

wyf1995's Stars

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown125k2.3k83023.2k

• WeNeedHome/SummaryOfLoanSuspension

  全国各省市停贷通知汇总

  Language:HTML20.4k32502.1k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.8k2738603.1k

• yifeikong/reverse-interview-zh

  技术面试最后反问面试官的话

  17.1k219231.3k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python15.8k1041k1.5k

• yuanguangxin/LeetCode

  LeetCode刷题记录与面试整理

  Language:Java7.3k19951.9k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.3k674681k

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5k84393767

• togethercomputer/RedPajama-Data

  The RedPajama-Data repository contains code for preparing large datasets for training large language models.

  Language:Python4.5k7689344

• alibaba/x-deeplearning

  An industrial deep learning framework for high-dimension sparse data

  Language:PureBasic4.3k2313461k

• datawhalechina/fun-rec

  推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

  Language:Jupyter Notebook4.2k3555795

• shuzijun/leetcode-editor

  Do Leetcode exercises in IDE, support leetcode.com and leetcode-cn.com, to meet the basic needs of doing exercises.Support theoretically: IntelliJ IDEA PhpStorm WebStorm PyCharm RubyMine AppCode CLion GoLand DataGrip Rider MPS Android Studio

  Language:Java3.7k34584400

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.7k41268463

• wangshusen/RecommenderSystem

  2.2k266338

• Doragd/Algorithm-Practice-in-Industry

  搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

  Language:Python2.2k5955279

• alibaba/EasyRec

  A framework for large scale recommendation algorithms.

  Language:Python1.7k50116312

• shenweichen/AlgoNotes

  【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

  1.6k310223

• drawbridge/keras-mmoe

  A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

  Language:Python6901518218

• 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:Python645712216

• luweiagi/machine-learning-notes

  This is the notes of the way of machine learning study. You may find something useful in it.

  39363102

• wangzhegeek/EGES

  Language:Python387933144

• Jesse-csj/TensorFlow_Practice

  推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

  Language:Python28245101

• ant-research/EasyTemporalPointProcess

  EasyTPP: Towards Open Benchmarking Temporal Point Processes

  Language:Python23313323

• wziji/deep_ctr

  Language:Jupyter Notebook2125578

• ShowMeAI-Hub/multi-task-learning

  TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset

  Language:Jupyter Notebook1722139

• zanshuxun/WeChat_Big_Data_Challenge_DeepCTR_baseline

  Language:Python1032533

• ttjjlw/esmm

  ctr、cvr预估

  Language:Python492218

• chenwr727/esmm_mmoe_deepfm

  基于ESMM、MMoE和deepFM的多目标模型

  Language:Python23105

• wyf1995/AIMAFE

  Language:Python43

• wyf1995/acerta-abide

  Deep learning using the ABIDE data

  Language:Python10