Pinned Repositories
AICompTop
比赛开源汇总
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,Deep Session Interest Network(DSIN)
Focus-DETR-mindspore
[ICCV 2023] Official implementation of the paper "Less is More: Focus Attention for Efficient DETR"
Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
kaggle
Kaggle 项目实战（教程） = 文档 + 代码 + 视频
Leetcode_Python
Python刷Leetcode
linxid.github.io
个人主页
Machine_Learning_Study_Path
机器学习过程中所看的书，视频和源码
noah-research
Noah Research
xlearn
High Performance, Easy-to-use, and Scalable Machine Learning Package (C++, Python, R)
linxid's Repositories
linxid/Machine_Learning_Study_Path
机器学习过程中所看的书，视频和源码
linxid/AICompTop
比赛开源汇总
linxid/Focus-DETR-mindspore
[ICCV 2023] Official implementation of the paper "Less is More: Focus Attention for Efficient DETR"
linxid/kaggle
Kaggle 项目实战（教程） = 文档 + 代码 + 视频
linxid/Leetcode_Python
Python刷Leetcode
linxid/Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
linxid/linxid.github.io
个人主页
linxid/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,Deep Session Interest Network(DSIN)
linxid/noah-research
Noah Research
linxid/xlearn
High Performance, Easy-to-use, and Scalable Machine Learning Package (C++, Python, R)
linxid/ChatChat
Chat Chat, unlock your next level AI conversation experience. Deploy your own AI Interface, all AI in one place.
linxid/fma
FMA: A Dataset For Music Analysis
linxid/hands_on_Ml_with_Sklearn_and_TF
OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)
linxid/MachineLearning
一些关于机器学习的学习资料与研究介绍
linxid/ML_CIA
公众号机器学习荐货情报局所有代码
linxid/opencv_chinese
opencv中文站，包含opencv官方tutorial翻译，等众多opencv相关的优秀文章和工程。
linxid/product-nets
This is the tensorflow implementation of "Product-based Neural Networks for User Response Prediction".
linxid/recsys
推荐系统学习资料、源码、及读书笔记
linxid/stanfordnlp
Official Stanford NLP Python Library for Many Human Languages
linxid/Translation
翻译来自Kaggle,Medium,Quora等网站的AI前沿技术文章.包括教程,经验,论文解读等.