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Kddcup 20206th Solution for 2020-KDDCUP Debiasing Challenge
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SAMNThis is our implementation of SAMN: Social Attentional Memory Network
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TIGERPython toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
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SASRec.pytorchPyTorch(1.6+) implementation of https://github.com/kang205/SASRec
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FashionShopAppFashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System
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GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
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interpretable-mlTechniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
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LeetCodeAt present contains scraped data from around 1500 problems present on the site. More to follow....
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PySPODA Python package for spectral proper orthogonal decomposition (SPOD).
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adversarial-recommender-systems-surveyThe goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
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gosquitogosquito ("go" + "mosquito") is a pluggable tool for data gathering, data processing and data transmitting to various destinations.
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bsu🎓Repository for university labs on FAMCS, BSU
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recsim ngRecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
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TurboDataMinerThe objective of this Burp Suite extension is the flexible and dynamic extraction, correlation, and structured presentation of information from the Burp Suite project as well as the flexible and dynamic on-the-fly modification of outgoing or incoming HTTP requests using Python scripts. Thus, Turbo Data Miner shall aid in gaining a better and fas…
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Data-Analyst-NanodegreeThis repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.
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multiscorerA module for allowing the use of multiple metric functions in scikit's cross_val_score
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recorecoFast item-to-item recommendations on the command line.
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NVTabularNVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
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mildnetVisual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
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non-api-fb-scraperScrape public FaceBook posts from any group or user into a .csv file without needing to register for any API access
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heidiheidi : tidy data in Haskell
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dee2Digital Expression Explorer 2 (DEE2): a repository of uniformly processed RNA-seq data
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rs datasetsTool for autodownloading recommendation systems datasets
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neuromanticLatest Data Science Materials
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data-miningResources for the Data Mining for Bussiness and Governance course.
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SLRCWWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
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PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
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iwwAI based web-wrapper for web-content-extraction
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RecSys Course 2017DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.
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RecSys PyTorchPyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
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simon-frontend💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻
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HFT-PredictionMachine learning approach to high frequency trading, MLP & RNN used
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bookworm📚 social networks from novels
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PyDREAMPython Implementation of Decay Replay Mining (DREAM)
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website-to-jsonConverts website to json using jQuery selectors
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python-notebooksA collection of Jupyter Notebooks used in conferences or just to have some snippets.
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auction-website🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.
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Apriori-and-Eclat-Frequent-Itemset-MiningImplementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
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teanaps자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
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ECG analysisNo description or website provided.
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XCloudOfficial Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)
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