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Michael Platzer mplatzer

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mplatzer / the-prize-flat.py

Last active July 3, 2025 20:20

Making a First Submission to the FLAT DATA challenge of The MOSTLY AI Prize 🏆

	# install Synthetic Data SDK
	# see also https://github.com/mostly-ai/mostlyai
	#!uv pip install "mostlyai[local]"

	# load training data
	import pandas as pd
	trn = pd.read_csv('/Users/mplatzer/github/the-prize-data/flat/flat-training.csv')

	# instantiate SDK in LOCAL mode
	from mostlyai.sdk import MostlyAI

mplatzer / mostly-ai-dp.py

Created November 17, 2024 17:23

US Census Income Dataset - Differentially Privacy Synthetic Data with MOSTLY AI

	# LOAD original data
	import pandas as pd
	census_df = pd.read_csv('https://github.com/mostly-ai/public-demo-data/raw/refs/heads/dev/census/census.csv.gz')

	# INITIALIZE python client
	from mostlyai import MostlyAI
	mostly = MostlyAI()

	# TRAIN with Differential Privacy
	for m in [0.25, 0.5, 1, 1.5, 2, 4, 8, 16, 32]: # noise multipliers

mplatzer / berka.py

Created July 19, 2024 06:50

	from mostlyai import MostlyAI

	# initialize client
	mostly = MostlyAI()

	# train generator for BERKA dataset
	config = {
	"name": "berka",
	"tables": [
	{

mplatzer / resize images

Created June 29, 2020 17:00

resize & crop photos to 10:15, plus add a white border

	library(magick)
	fns <- list.files(patt='jpg')
	lapply(fns, function(fn) {
	cat(basename(fn), '\n')
	img <- image_read(fn)
	cdate <- exif_read(fn)$CreateDate
	if (!is.null(cdate)) {
	cdate <- as.Date(cdate, format='%Y:%m:%d')
	} else {
	cdate <- Sys.Date()

mplatzer / cdnow.csv

Created June 29, 2020 06:24

CDNOW Master File - converted to CSV

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