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catsvsdogs

Dogs vs. Cats. An Image classification kernel using Tensorflow Deep Learning Library (tflearn), numpy and pandas. The datasource images used are taken from open source competition hosted on kaggle.com.

cefs-compressed-encrypted-file-system

Creates a layer on top of NTFS and FAT file systems.

delivery-service

Delivery-Service (part of OCM (Delivery) Gear

first-contributions

🚀✨ Help beginners to contribute to open source projects

flowerimageclassifier

The dataset includes Images for 5 types of flowers . The task is to train the model which will be able to classify the flowers based on their images correctly.

fosstars-rating-core

A framework for defining ratings for open source projects. In particular, the framework offers a security rating for open source projects that may be used to assess the security risk that comes with open source components.

foundation

☁️♮🏛File non-technical issues related to CNCF

geneology-mongo

irisclassifcation

The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.

irisdatasetclassification

The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other. The link for dataset - https://www.kaggle.com/uciml/iris

reuse-tool

The tool for checking and helping with compliance with the REUSE recommendations

santader-dataset

stockpricetimeseries

A simple analysis of stock price prediction/ trend/ Time Series prediction using a Recurrent Neural Network(RNN) and Long Short Term Memory(LSTM) implementation.

test-app