Zixi Liu (zixi-liu)

zixi-liu

Geek Repo

Company:Sony PlayStation

Location:San Diego, US

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Zixi Liu's repositories

Fraud-Detection-Papers

Learning Fraud Detection from research papers and industry applications.

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Graphical-Neural-Network

CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.

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Risk-Commodities-Detection-GNN

ICDM 2022 : Risk Commodities Detection on Large-Scale E-commerce Graphs

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Transformers-Learning

Stanford CS25 - Transformer United and CS224n learning notes and code dump.

ibmb

Influence-Based Mini-Batching (IBMB), as proposed in "Influence-Based Mini-Batching for Graph Neural Networks" (LoG 2022)

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ML-System-Design

Learning notes and code from CS 329S: Machine Learning Systems Design series.

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Sentiment-Analysis-LSTM

Implementation of Long short-term memory (LSTM) architecture for sentiment analysis on IMDB Movie Review.

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阅读笔记

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algo

数据结构和算法必知必会的50个代码实现

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Algorithms-CPP-Learning

Learning notes and code from System Design and Algorithms lecture series.

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Subgraph-Sampling-Toolbox

A subgraph sampling toolbox using PyG and OGBN - products to practice graph partitioning for model train/validation/test split.

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Awesome-Rust-MachineLearning

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. 🦀

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Back-End-Stuff

Learning notes on back-end developer classes.

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cs-cmu-deeplearning

Lecture notes and implementations of CMU CS 11-785 Introduction to Deep Learning.

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CS221-ai-principles

Specific topics include machine learning, search, game playing, Markov decision processes, constraint satisfaction, graphical models, and logic.

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datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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fastText

Library for fast text representation and classification.

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focal_loss_torch

Simple pytorch implementation of focal loss

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Graph-AI-Compiler

Project from Google Research - Predict how fast an AI model runs

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graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

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Mathematics-of-Deep-Learning

A curated list of awesome learning resources for mathematics foundations for building deep learning frameworks.

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OO-Neural-Networks

Understanding Pytorch's backend codebase in C/C++.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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RecSys

Implementation of a deep learning recommender system with the MovieLens data.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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Unity-Starter

Learning notes on Unity game making.

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