SoulJaZhao's repositories

awesome-AI-cheatsheets

AI与数据科学各类工具库速查表与参考代码

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AI-Paper-Collector

Fully-automated scripts for collecting AI-related papers

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antifraud

A repository for financial fraud detection

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awesome-anomaly-detection

A curated list of awesome anomaly detection resources

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berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

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cs224w-zh

CS224W-Chinese-Notes CS224W中文笔记

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cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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E-GraphSAGE

A PyTorch implementation of of E-GraphSAGE.

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git-instructions

git-instructions

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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.

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HandsOnDeepLearning

动手深度学习

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lihang-code

《统计学习方法》的代码实现

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Mobile-Security-Framework-MobSF

Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.

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needle

The iOS Security Testing Framework

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nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

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PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

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pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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Statistical-Learning-Method

Statistical Learning Method

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SwiftUI-Essentials

SwiftUI Project

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TianchiML

阿里天池机器学习平台竞赛项目

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torch-template-for-deep-learning

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

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Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning

Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"

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zihao_course

同济子豪兄的公开课

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