pebblecoin's Stars
naginoa/LLMs_interview_notes
LLMs interview notes and answers:该仓库主要记录大模型(LLMs)算法工程师相关的面试题和参考答案
G33kzD3n/Catalogue
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.
hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DSXiangLi/CTR
CTR模型代码和学习笔记总结
geekywrites/datascience
This repository is a compilation of free resources for learning Data Science.
lcylmhlcy/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
Sroy20/machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
DarLiner/Algorithm_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,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
wangyuGithub01/Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
jayinai/data-science-question-answer
A repo for data science related questions and answers
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
wyharveychen/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
onnx/tutorials
Tutorials for creating and using ONNX models
ilmonteux/logohunter
Deep learning tool to find brand logos in everyday pictures
satojkovic/DeepLogo
A brand logo detection system using tensorflow object detection API.
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
pebblecoin/ranking
Learning to Rank in TensorFlow
ogerhsou/Youtube-Recommendation-Tensorflow
code of paper `Deep Neural Networks for Youtube Recommendation`
robi56/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
jfkirk/tensorrec
A TensorFlow recommendation algorithm and framework in Python.
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
bigdong89/xgboostExtension
xgboost Extension for Easy Ranking & TreeFeature
virgili0/Virgilio
Your new Mentor for Data Science E-Learning.