Showing 31 open source projects for "to-do"

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  • 1
    Scikit-plot

    Scikit-plot

    An intuitive library to add plotting functionality to scikit-learn

    ...Gaining insights is simply a lot easier when you're looking at a colored heatmap of a confusion matrix complete with class labels rather than a single-line dump of numbers enclosed in brackets. Besides, if you ever need to present your results to someone (virtually any time anybody hires you to do data science), you show them visualizations, not a bunch of numbers in Excel. That said, there are a number of visualizations that frequently pop up in machine learning. Scikit-plot is a humble attempt to provide aesthetically challenged programmers (such as myself) the opportunity to generate quick and beautiful graphs and plots with as little boilerplate as possible.
    Downloads: 0 This Week
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  • 2

    Face Recognition

    World's simplest facial recognition api for Python & the command line

    ...It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries.
    Downloads: 11 This Week
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  • 3
    DeepLearn

    DeepLearn

    Implementation of research papers on Deep Learning+ NLP+ CV in Python

    ...This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning.
    Downloads: 0 This Week
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  • 4
    Five video classification methods

    Five video classification methods

    Code that accompanies my blog post outlining five video classification

    ...Every video will be subsampled down to 40 frames. So a 41-frame video and a 500-frame video will both be reduced to 40 frames, with the 500-frame video essentially being fast-forwarded. We won’t do much preprocessing. A common preprocessing step for video classification is subtracting the mean, but we’ll keep the frames pretty raw from start to finish.
    Downloads: 0 This Week
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  • 5
    AI learning

    AI learning

    AiLearning, data analysis plus machine learning practice

    ...We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community, we-media, and online earning community, with a QQ group of more than 10,000 people and at least 10,000 subscribers. The number of Github Stars exceeds 60k, and it ranks in the top 100 of all Github organizations. ...
    Downloads: 0 This Week
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  • 6

    PyCBR

    This project aims to provide a simple python interface for CBR

    ...It has an interface for wordnet (through nltk tools) which brings us why pyCBR exists. This script is still in its infant stage of CBR & script matching. Nontheless you could use it to do many crazy stuff. Enjoy!!!
    Downloads: 0 This Week
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