yushiqiu's starred repositories
Programming-Pearls
My solutions to problems in Programming Pearls (Jon Bentley)
talent-plan
open source training courses about distributed database and distributed systems
Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
Train-by-Reconnect
Official code for the NeurIPS 2020 paper Train by Reconnect: Decoupling Locations of Weights from Their Values by Yushi Qiu and Reiji Suda.
game-programmer
A Study Path for Game Programmer
VirusMarbleModel
Python code used to create the simulations in the corresponding video
Hands-On-Image-Generation-with-TensorFlow-2.0
Hands-On Image Generation with TensorFlow 2.0, published by Packt
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
react-gh-pages
Deploying a React App (created using create-react-app) to GitHub Pages
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
datascience-fails
Collection of articles listing reasons why data science projects fail.
coding-interview-university
A complete computer science study plan to become a software engineer.
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
react-github-calendar
A React component to display a GitHub contributions calendar
github-calendar
:bar_chart: Embed your GitHub calendar everywhere.
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.
tensor-sensor
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
scikit-learn
scikit-learn: machine learning in Python