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@flovv
flovv / DeepLearningPartOne.R
Created June 18, 2017 16:02
Deep Learning for Brand Logo detection in R
########## data proprocessing!
## download the file set from here: http://image.ntua.gr/iva/datasets/flickr_logos/
## extract image to a folder flickrData
### copy files in the right directories
options(stringsAsFactors = F)
df <- read.csv("flickrData/flickr_logos_27_dataset_query_set_annotation.txt", sep="\t")
@aparrish
aparrish / understanding-word-vectors.ipynb
Last active December 18, 2025 05:55
Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@clintval
clintval / kmeans-clustering.ipynb
Last active February 23, 2021 14:36
k-means silhouette analysis using sklearn and matplotlib on Iris data.
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@sim642
sim642 / boost-windows.md
Last active March 16, 2026 08:07
Installing boost libraries for GCC (MinGW) on Windows

Installing boost libraries for GCC (MinGW) on Windows

Folder setup

  1. Extract downloaded boost source, e.g. C:\Program Files\boost_1_59_0.
  2. Create a folder for Boost.Build installation, e.g. C:\Program Files\boost-build.
  3. Create a folder within for building, i.e. C:\Program Files\boost_1_59_0\build.
  4. Create a folder for installation, e.g. C:\Program Files\boost.

GCC setup

  1. Open Command Prompt.
@thigm85
thigm85 / loading_plot.R
Created November 28, 2013 09:45
Sample code to plot PCs coefficients associated with variables in the dataset. See http://tgmstat.wordpress.com/2013/11/28/computing-and-visualizing-pca-in-r/ for more info.
require(ggplot2)
theta <- seq(0,2*pi,length.out = 100)
circle <- data.frame(x = cos(theta), y = sin(theta))
p <- ggplot(circle,aes(x,y)) + geom_path()
loadings <- data.frame(ir.pca$rotation,
.names = row.names(ir.pca$rotation))
p + geom_text(data=loadings,
mapping=aes(x = PC1, y = PC2, label = .names, colour = .names)) +