wangjunguang-star,github

a2l-parser-api

A2l parser which can handle IntelHex and SRecord files

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

alphafm_softmax

Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.

alphaplm

Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

ctr

CTR模型代码和学习笔记总结

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

lambdafm

Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.

learn_cpp

C++学习笔记以及代码实验

leetcode-py

⛽️「算法通关手册」，超详细的「算法与数据结构」基础讲解教程，「LeetCode」650+ 道题目 Python 版的详细解析。通过「算法理论学习」和「编程实战练习」相结合的方式，从零基础到彻底掌握算法知识。

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.