Data and scripts to train Tesseract OCR model for old Irish fonts (seanchló)
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Updated
Apr 27, 2015 - Python
Data and scripts to train Tesseract OCR model for old Irish fonts (seanchló)
Simple Optical Character Recognizer (english-ocr-image-to-text-recognition-sample-trainig-alphabet-photo-data-database-dataset)
A Sentiment Analyzer for a set of Hotel Reviews using Naive Bayes Algorithm
Image augmentation library in Python for machine learning.
Table compiling the list of biomedically-related corpora available for named entity recognition (and some also suitable for association detection). First version has was published as part of the paper: Dieter Galea, Ivan Laponogov, Kirill Veselkov; Exploiting and assessing multi-source data for supervised biomedical named entity recognition, Bio…
A simple implement of TransE, the ML algorithm published in 2013
Convert senticnet data into JSON format
This a basic ANN template which works on a sigmoid activation function. Initially the weights are created with a randomized function on a truncated normal distribution. The model further uses training and updation of weights using back propagation algorithm
Training data from digitally available United Nations Resolutions from the Security Council and General Assembly
Applied basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home
The Jakarnotator is an annotation tool to create your own database for instance segmentation problem.
Repository for 19th century German fraktur lines transcribed via archiscribe.jbaiter.de
Forex tick-by-tick EUR/USD data, free to use for your Forex machine learning stuffs..
Generating training data from the Carla driving simulator in the KITTI dataset format
A collection of training and evaluation data for Morpher
This is a python implementation of the 3D noise model originally used by Center for Night Vision and Electro-Optics to analyze spatio-temporal noise components in imaging systems.
You only run once to generate train set
The Idea of this project is How might we automate the process of recognizing the details of the vehicles from images, including make and mode
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