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该仓库记录搜索推荐算法工程师的必备面试知识点+paper

3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

advanced-algorithm-combing

awesome-algorithm

LeetCode, HackRank, 剑指offer, classic algorithm implementation

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

bandit-algorithms

A small collection of Bandit Algorithms (ETC, E-Greedy, Elimination, UCB, Exp3, LinearUCB, and Thompson Sampling)

codinginterviewchinese2

《剑指Offer》第二版源代码

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

daily-interview

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

data-science-notes

数据科学的笔记以及资料搜集

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deepinterestnetwork

deeplearning

深度学习相关的模型训练、评估和预测相关代码

deeplearning-1

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

dfn

Deep Feedback Network for Recommendation

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

feature-engineering-for-ml-zh

:book: [译] 面向机器学习的特征工程

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

git-demo

The git demo of the usage

hands-on-machine-learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

interview-code-practice-python

面试题

interview-notebook

https://github.com/CyC2018/Interview-Notebook

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightgcn

lihang-code

《统计学习方法》的代码实现