cathyqian Goto Github PK
Name: CathyQian
Type: User
Company: Pinterest
Bio: Upenn Ph.D. & Senior Machine Learning Engineer at AdTech (Pinterest, ex-Twitter)
Location: Seattle, WA
Name: CathyQian
Type: User
Company: Pinterest
Bio: Upenn Ph.D. & Senior Machine Learning Engineer at AdTech (Pinterest, ex-Twitter)
Location: Seattle, WA
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of papers on cold-start recommendations.
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
My personal website
A collection of efforts to master computer science data structures and algorithms
Includes most efforts in my data science journey
This folder contains most of my independent data science projects.
Repo for the Deep Reinforcement Learning Nanodegree program
Everything you need to know to get the job.
KingPin is the toolset used at Pinterest for service discovery and application configuration.
Companion to Learning Hadoop and Learning Spark courses on Linked In Learning
Use Markovchain to generate lyrics based on probability
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A collection of useful resources for Machine Learning System Design
A booklet on machine learning systems design with exercises
Minima is a one-size-fits-all Jekyll theme for writers.
Quick recall notes and tutorial links for various Math, Machine learning and Deep Learning concepts. Basically, links from where my understanding was maximized.
PyTorch Tutorial for Deep Learning Researchers
Papers on recommendation system / search ranking.
This repository contains computation simulation and data visualization projects I did during my PhD research.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
My solution to the book <A collection of Data Science Take-home Challenges>
On Calibration of Modern Neural Networks - tensorflow implementation
TensorFlow Tutorial and Examples for Beginners with Latest APIs
A crash course in six episodes for software developers who want to become machine learning practitioners.
Source code for Twitter's Recommendation Algorithm
A comprehensive reference for all topics related to Natural Language Processing
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.