guopzhao's starred repositories

lihang-code

《统计学习方法》的代码实现

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CTR_Prediction

CTR prediction using FM FFM and DeepFM

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machine-learning-interview

算法工程师-机器学习面试题总结

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SimRank

1) SimRank (single pair query, parallel all pair computation / dynamic updates) - by Yue Wang (https://github.com/KeithYue) and Yulin Che (https://github.com/CheYulin). 2) top-k version (https://github.com/CheYulin/SimRank/tree/develop) by Yue Wang and Zonghao Feng (https://github.com/unisolate)

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UniWalk

We design a Monte Carlo based method, UniWalk, to enable the fast top-k SimRank computation over large undirected graphs. UniWalk directly locates the top-k similar vertices for any single source vertex u via approximately R sampling paths originating from u only. Related work has been published in ICDE 2017 ("UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph"). Furthermore, in order to overcome the "rectification issue" in the original UniWalk, we design a path enumeration strategy to gain higher precision, which computes SimRank with the path probabilities instead of path frequencies in sampling. We call it the optimized UniWalk here, which is shown in the "UniWalk/src/simrank/SingleRandomDev.java" file(the basic UniWalk is shown in "UniWalk/src/simrank/SingleRandomWalk.java").

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CS498_LHW2_Codes

Codes related to Q1, Q2, and Q3. Related to simrank++ and recommender systems

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SimRank

SimRank in C++

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SimRank

An implementation of SimRank and SimRank++ algorithms on both directive graphs and bipartitle graphs, with matrix manipulations to reduce the calculation complexity effectively.

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BiNE

BiNE: Bipartite Network Embedding

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AI_Tutorial

精选机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理。算法大牛笔记汇总

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FinRL

FinRL: Financial Reinforcement Learning. 🔥

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geojson-python-utils

Python helper functions for manipulating GeoJSON

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geo2city

Basic offline reverse geocode

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reverse-geocoder

A fast, offline reverse geocoder in Python

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Pytorch_Universal-adversarial-perturbation

A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.

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fast-feature-fool

Data independent universal adversarial perturbations

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Universal-Adversarial-Perturbations-Pytorch

Implementation of https://arxiv.org/abs/1610.08401 for the CS-E4070 - Special Course in Machine Learning and Data Science: Advanced Topics in Deep Learning course at Aalto University, Finland.

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adv-patch

PyTorch implementation of Adversarial Patch

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Adversarial_Patch_Attack

Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)

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adversarial-patch

PyTorch implementation of adversarial patch

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DeepSOCIAL

Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic and Beyond

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DeepLabV3FineTuning

Semantic Segmentation : Multiclass fine tuning of DeepLabV3 with PyTorch

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DOLG-pytorch

Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

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adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

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UGFraud

An Unsupervised Graph-based Toolbox for Fraud Detection

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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netron

Visualizer for neural network, deep learning and machine learning models

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tushare

TuShare is a utility for crawling historical data of China stocks

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