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bc-cisc-3140-lab-3-awk

This project was created to fulfill a lab requirement for a Brooklyn College course (CISC 3140). The project parses a CSV (comma separated files) using an AWK script.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

cs342fall2017_p4

dead_end

A platformer action game

deposit-api

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

helloworld

hello world tradition

insult_detection_in_social_media_commentary

NLP Term Project

json-flattener

A Java utility used to FLATTEN nested JSON objects and even more to UNFLATTEN it back

keras-data-generator

Template for data generator in Keras

ml_project

A group Project in Bilkent University

nlg-with-hmmlearn

Natural language generation with hidden markov models (using hmmlearn)

simplefs

A simple, kernel-space, on-disk filesystem from the scratch

socialmediaapp

A demo social media app built using SSR with mustache and node/express

spark

Mirror of Apache Spark

spark-tutorial

Code for the EDM2016 tutorial "Massively scalable EDM with Spark"

sparkudfexamples

Simple examples of Spark SQL user-defined functions

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.