Displaying 1 to 6 from 6 results

philentropy - Information Theory and Distance Quantification with R

  •    R

Describe and understand the world through data. Data collection and data comparison are the foundations of scientific research. Mathematics provides the abstract framework to describe patterns we observe in nature and Statistics provides the framework to quantify the uncertainty of these patterns. In statistics, natural patterns are described in form of probability distributions which either follow a fixed pattern (parametric distributions) or more dynamic patterns (non-parametric distributions).

datagene - DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

  •    Jupyter

Animated Investment Management Research at Sov.ai, sponsoring open source AI, Machine learning, and Data Science initiatives. DataGene is developed to detect and compare dataset similarity between real and synthetic datasets as well as train, test, and validation datasets. You can read the report on SSRN for additional details. Datasets can largely be compared using quantitative and visual methods. Generated data can take on many formats, it can consist of multiple dimensions of various widths and heights. Original and generated datasets have to be transformed into an acceptable format before they can be compared, these transformation sometimes leads to a reduction in array dimensions. There are two reasons why we might want to reduce array dimensions, the first is to establish an acceptable format to perform distance calculations; the second is the preference for comparing like with like. You can use the MTSS-GAN to generate diverse multivariate time series data using stacked generative adversarial networks in combination with embedding and recurrent neural network models.

mtss-gan - MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)


Please experiment with the code in the colab below and give me your feedback in the issues tab. I will read it to improve a future version of this model. The model has been developed on a colaboratory notebook. Here I have added a few code snippets, if there is demand, I can build a package, please let me know in the issues tab. For some additional information, feel free to consult the paper.

dhash-vips - Ruby gem to measure images similarity

  •    Ruby

The dHash is the algorithm of image fingerprinting that can be used to measure the similarity of two images. The IDHash is the new algorithm that has some improvements over dHash -- I'll describe it further. You can read about the dHash and perceptual hashing in the article "Kind of Like That" at "The Hacker Factor Blog" (21 January 2013). The idea is that you resize the original image to 8x9 and then convert it to 8x8 array of bits -- each tells if the corresponding segment of the image is brighter or darker than the one on the right (or left). Then you apply the Hamming distance to such arrays to measure how much they are different.

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