JifuZhao
PhD 👨🏻🎓 in Engineering. Data Science, Machine Learning, and Deep Learning Enthusiast 🐳.
Urbana, IL, USA
JifuZhao's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
checkcheckzz/system-design-interview
System design interview for IT companies
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
andkret/Cookbook
The Data Engineering Cookbook
billryan/resume
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
lyst/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
SeldonIO/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
wzhe06/Ad-papers
Papers on Computational Advertising
wzhe06/Reco-papers
Classic papers and resources on recommendation
maciejkula/spotlight
Deep recommender models using PyTorch.
lei-hsia/grokking-system-design
Grokking system design
jayinai/data-science-question-answer
A repo for data science related questions and answers
DreamOfTheRedChamber/system-design-interviews
iamtodor/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
Sroy20/machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
jfkirk/tensorrec
A TensorFlow recommendation algorithm and framework in Python.
imfing/keras-flask-deploy-webapp
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
runawayhorse001/PythonTipsDS
Python Tips for Data Scientist