Machine Learning

Machine learning is a set of mathematical approaches to teaching computers to learn based on large quantities of data, instead of human step by step instruction. There are many categories of Machine Learning including Natural Language Processing, Computer Vision, Time Series, and more.

Demos:

  1. Programming Language Identification

    Detect the programming language of source code

    PetiteProgrammer
  2. FpGrowth

    A scalable method for finding frequent patterns within large datasets

    paranoia
  3. Affinity Analysis for Market Basket Recommendation (FP-Growth)

    Affinity analysis is an analytical technique that aims to discover relationships between activities and preferences that pertain to specific individuals.

    Aluxian
  4. Text Similarity

    Find the most similar text files within a collection of documents

    PetiteProgrammer
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  1. Programming Language Identification

    Detect the programming language of source code

    PetiteProgrammer
  2. Face Detection

    This algorithm detects human faces in given images.

    dlib
  3. Doc2Vec

    Vectorize documents of arbitrary length

    nlp
  4. Gender By Name (First, Last or Full Name) Classifier

    Fast gender classifier by name. Classification works with first and last name (order-independent); last name optional.

    classification
  5. FpGrowth

    A scalable method for finding frequent patterns within large datasets

    paranoia
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  1. fjcut_v1

    Overview Provide a short overview of your algorithm.

    o12827402
  2. Gender By Name (First, Last or Full Name) Classifier

    Fast gender classifier by name. Classification works with first and last name (order-independent); last name optional.

    classification
  3. ResNet Feature Extraction

    Extract ResNet feature vectors from images.

    imageclassification
  4. ResNet Model Runner

    Deploy pre-trained ResNets for inference.

    imageclassification
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