DuSt9

DuSt9

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Tips-of-Feature-engineering

A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

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Machine-Learning-Knowledge

🤓 Important machine learning knowledge, each article deeply analyzes theoretical knowledge

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ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

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luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

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HIN-Datasets-for-Recommendation-and-Network-Embedding

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

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practicalAI

📚 A practical approach to machine learning to enable everyone to learn, explore and build.

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recommend-lib

fair comparison for recommender system benchmarks

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pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

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Virgilio

Your new Mentor for Data Science E-Learning.

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Research-Line

A paper list of my research line, welcome to discuss with me.

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computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

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GRU4REC-pytorch

An other implementation of GRU4REC using PyTorch

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yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

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xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)

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technology_books

Premium eBook free for Geeks

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leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)

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coding-interview-university

A complete computer science study plan to become a software engineer.

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DeepRec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

DrWhy

DrWhy is the collection of tools for Explainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

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awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

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SJTUThesis

上海交通大学 XeLaTeX 学位论文及课程论文模板

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recommenders

Best Practices on Recommendation Systems

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dlrm

An implementation of a deep learning recommendation model (DLRM)

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most-frequent-technology-english-words

程序员工作中常见的英语词汇

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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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iml

iml: interpretable machine learning R package

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list_of_recommender_systems

A List of Recommender Systems and Resources

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deep-recommender-system

深度学习在推荐系统中的应用及论文小结。

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sars_tutorial

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

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