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LibRecommender. Versatile End-to-End Recommender System
484Kaggle-HousePrices. Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
167DBRL. Dataset Batch(offline) Reinforcement Learning for recommender system
152Flink-Reinforcement-Learning. Recommender system based on Flink and Reinforcement Learning
110dismember. Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.
73Class-Imbalance. 《机器学习之类别不平衡问题》文章代码
46Ftrl-FFM. Field-aware factorization machine (FFM) with FTRL
46text-generation-using-keras. 文本生成
41neural-style-transfer. 艺术风格转换
20Kaggle-Titanic. kaggle kernel for Titanic dataset
14ML-algorithms-implemetation. Jupyter Notebook
9Princeton-Algorithms. 普林斯顿《算法(Algorithms)》笔记
4LeetCode. LeetCode Solution, Java & Python & C & C++
4Papers.
3Loss-Functions. Jupyter Notebook
3endrs. Python
2-Introduction-to-Machine-Learning-with-Python---NOTE. Note from the book "Introduction to Machine Learning with Python"
1Libsvm-Csv. Java
1Kaggle-mercari-price-suggestion. Solution for Kaggle competition - Mercari Price Suggestion Challenge
1Anime-Serving. Spark model serving using PMML and MLeap
1Distributions_for_Random_Search.
1mays. TypeScript
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