QuaiQuAI is QNAP’s AI Developer Package, for data scientists and developers, to quickly build, train, optimize and deploy machine learning models, on top of QNAP NAS.
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ArchiveArchive of presentations
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TedsdsApache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark
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TalksTopic and material (if available) of the talks
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Tensorflow2 Generative ModelsImplementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
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Python Web ScrapingWhen performing data science tasks, it's common to want to use data found on the internet. You'll usually be able to access this data in csv format, or via an Application Programming Interface (API). However, there are times when the data you want can only be accessed as part of a web page. In cases like this, you'll want to use a technique called web scraping to get the data from the web page into a format you can work with in your analysis.
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DeepbayesBayesian methods in deep learning Summer School
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AcademiaiaarCompilado de cursos y material de capacitación en herramientas de IA y DataScience.
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VizicA Jupyter-based Interactive Visualization Tool for Astronomical Catalogs
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Seq 2 Seq OcrHandwritten text recognition with Keras
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Icon2017Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'
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Azure Webapp W CntkDeployment template for Azure WebApp, CNTK, Python 3 (x64) and sample model
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NotebooksAn attempt to formalize my thoughts. A pythonic approach to mental housekeeping
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How Long Can You RunRepository containing a dataSet and a python notebook to perform data analysis about workouts. The data was gathered from Health Graph API - Runkeeper
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SageHome of the Semi-Analytic Galaxy Evolution (SAGE) galaxy formation model
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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NotebooksLearn Python for free using open-source notebooks in Hebrew.
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ArtintellThis Contains Algorithms and codes for NLP, CV and deep learning basics and some advanced concepts
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Ismir2016Instructions for reproducing the research described in the paper "Tempo Estimation for Music Loops and a Simple Confidence Measure"
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KaggleMy kaggle competition solution and notebook
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Dsx TutorialsA collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/
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CryptotechnicalsPresentation and code from Cryptocurrency Technical Trading strategy meeting. Dec 7th 2017
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TsaTime Series Anomaly Detection Toolkit
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TutorialsA project for developing tutorials for Streams
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MotivesextractorExtract Polyphonic Musical Motives from Audio Recordings
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AndaCode for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"
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Ds OptimusHow to do data science with Optimus, Spark and Python.
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FrolsidentificationA set of Matlab/Octave files that performs a method of Nonlinear System Identification.
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InterviewInterview = 简历指南 + LeetCode + Kaggle
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Mj583J583 Advanced Interactive Media
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Adabelief OptimizerRepository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
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Intro to qmcIntroductory QMC teaching material for Python
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Strata dataA repo of sample data for our PyData Tutorial!
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PygtcMake a sweet giant triangle confusogram (GTC) plot
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Attend Infer Repeat PytorchS.M.Ali Eslam et.al. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ICML16
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Nlp tutorialsOverview of NLP tools and techniques in python
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Grab AiforseaEntry for Grab's AI for S.E.A. challenge
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Core StoriesAll the notebooks for the analysis of Emotional Arcs within the Project Gutenberg corpus, see "The emotional arcs of stories are dominated by six basic shapes"
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Subreddit RelatedCode and visualizations for related/similar subreddits
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