A collection of training and evaluation data for Morpher
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Updated
Jun 3, 2019
A collection of training and evaluation data for Morpher
SLI mappings for the Princeton Annotated Gloss Corpus dataset
Convert senticnet data into JSON format
Training data from digitally available United Nations Resolutions from the Security Council and General Assembly
SLI mappings for OMSTI dataset
The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.
Gender Classification
Forex tick-by-tick EUR/USD data, free to use for your Forex machine learning stuffs..
Classification with ensemble learning & resampling techniques.
Learn and practice several regularization techniques (including dropout regulation and hyperparameter-tuning) to improve model accuracy
company_data_prj9
Cross-platform source to text file conversion tool
This repository stores binary data that is consumed by tests in the machinelearning repository. The datasets are provided under the original terms that Microsoft received such datasets. See below for more information about each dataset.
This repository consists of implementation of some of the advanced algorithms in classification of dataset as well as training and testing of personalized dataset and decreasing the error.
CIFAR-10 is an established computer-vision dataset used for object recognition. It is a subset of the 80 million tiny images dataset and consists of 60,000 32x32 color images containing one of 10 object classes, with 6000 images per class. Using this we develop a model that can classify images
Automatic Trading System for OANDA. Currency pairs can be analysed by customising the list in the regression algorithms.
Convert Supervisely to Pascal VOC
Sign Language Detection can interpret sign language gestures and facilitate communication between sign language users and non-signers. The project utilizes computer vision techniques and deep learning algorithms to accurately recognize
From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually. Use R or Python to perform this task
Un conteneur docker destiné à l'entraînement de modèles Grobid
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