Lists (11)
Stars
Plotting the historical uptime of GitHub
Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Recommender systems were built using Pandas operations and by f…
Because `model.fit()` isn't an explanation
500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。
Local data-management platform with built-in trainable recommendation engine and distributed file-sharing ecosystem for content search and discovery.
This is a repository of public data sources for Recommender Systems (RS).
Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊
Forum for discussing Internet censorship circumvention
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
A curated collection of common interview questions to help you prepare for your next interview.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
Everything you need to know to get the job.
Curated coding interview preparation materials for busy software engineers
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A complete computer science study plan to become a software engineer.
Source code for the X Recommendation Algorithm
This repository collects debiasing methods for recommendation
ColdRec: An Open-Source Toolbox for Cold-Start Recommendation.
List of awesome RSS channels related to startup, science and technology.
Best Practices on Recommendation Systems
The definitive list of the best of (consumer facing) open source.
Learn how to design and implement effective Machine Learning systems from start to finish.
A list of developer portfolios for your inspiration