Zixi Liu's Projects
阅读笔记
Papers on Computational Advertising
Learning Ads Optimization from research papers and industry applications.
数据结构和算法必知必会的50个代码实现
Learning notes and code from System Design and Algorithms lecture series.
A curated list of data mining papers about fraud detection.
Awesome GAN for Medical Imaging
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
Learning notes on back-end developer classes.
Repository for benchmarking graph neural networks
My biostatistics works.
This contains R shiny apps and CMS contacts data wrangling.
This is a set of learning notes I used to learn computer vision algorithms.
My notes / works on deep learning from Coursera
follow me to study modern c++
Lecture notes and implementations of CMU CS 11-785 Introduction to Deep Learning.
Specific topics include machine learning, search, game playing, Markov decision processes, constraint satisfaction, graphical models, and logic.
This is a practice on the Google AI Dataset using imageai. (resnet50)
This repository is to hold scripts and containers for the Opioid Data Hackathon
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
DeepWalk - Deep Learning for Graphs
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
ETL Project that evaluate the effects of citizens’ access to Naloxone on the recovery process of prescription drug misuse.
Library for fast text representation and classification.
Simple pytorch implementation of focal loss
Learning Fraud Detection from research papers and industry applications.
Project from Google Research - Predict how fast an AI model runs
Jupyter notebooks showing how to use Neo4j Graph Algorithms