An industrial deep learning framework for high-dimension sparse data

XCPC/ICPC/CCPC 算法模板

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

自己整理了一些ML入门的知识，以及ML项目中的一些经验总结分享

My solution to the book <A collection of Data Science Take-home Challenges>

Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

A library for efficient similarity search and clustering of dense vectors.

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Pure python implementation of product quantization for nearest neighbor search

Learning to Learn in TensorFlow

Meta learning framework with Tensorflow 2.0

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

用Tensorflow实现深度学习模型和迁移学习模型

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Using the tensorflow to bulid DNN neuron

中文文本摘要/关键词提取

Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）

Pre-trained ELMo Representations for Many Languages

Single-document unsupervised keyword extraction

Awesome Incremental Learning

Incremental learning for recommender systems

该仓库尝试整理推荐系统领域的一些经典算法模型

RSTutorials: A Curated List of Must-read Papers on Recommender System.

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...

算法理论基础知识应知应会

pytorch version of neural collaborative filtering

A simple recommender system based on Collaborative Filtering for implicit feedback dataset