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VizicA Jupyter-based Interactive Visualization Tool for Astronomical Catalogs
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Uncurl pythonUNCURL is a tool for single cell RNA-seq data analysis.
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Sklearn pycon2015Materials for my Pycon 2015 scikit-learn tutorial.
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KalasalingamIEEE "Invited Talk on Deep Learning" 03/02/2018
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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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Deepnlp2019Repository of DeepNLP in 2019
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Traffic Sign ClassifierUdacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
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Behavioral Cloning HacktorialAll the files needed for the Terrapin Hackers Hacktorial on Behavioral Cloning for Self Driving Cars.
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Icon2017Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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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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Faceid betaAn implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
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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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Machine LearningMachine Learning Projects using R, Mahout, Python and NLP
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Seq 2 Seq OcrHandwritten text recognition with Keras
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TutorialsLandlab tutorials
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Advanced pymc3A talk illustrating some of the Advanced features of PyMC3
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
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Machine Learning Starter KitThe fastest way for developers and managers to gain practical ML knowledge and to apply it to their own projects.
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