annekehdyt Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

android-mini-trip

This is the final project for the mobile programming class (android) on 6th semester of undergraduate. The app called as mini trip, which function to manage the travel itenary. The user target of this application is for person (especially employee) who possibly does several business trip on short period. The final presentation of this project can be found on power ppt file (however, it written in Korean, please look at the screencapture on the slides for reference)

annekehdyt.github.io

c-file-processing

This is a file processing class project, taken during semester 5 undergraduate. This program is aimed to record people's data in a struct, also to manage the data. such as show, delete, add. In this program, the record method using a variable length, which the length of the data is adjust to the length of each record. Thus, it could save memory more than record it in a fixed length.

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

csp571_f20_traffic_accident_analysis

Base repository on the traffic accident analysis project

deep-from-the-internet

discourse-parsing

Fast Rhetorical Structure Theory (RST) Discourse Parser

ieturk

Intuitive Annotation Tool for Information Extraction / Named Entity Recognition using localturk / Amazon Mechanical Turk

main

CS579: Online Social Network Analysis at the Illinois Institute of Technology

master-thesis

Work done on my master thesis.

ml-exercise-sklearn

This section is a collection for Machine Learning exercise in Python using Scikit Learn. Implemented in Jupyter Notebook

models

Models and examples built with TensorFlow

moviereview

mst-kruskal-and-prim

This project implements and compare between two MST (Minimum Spanning Tree): KRUSKAL'S WITH UNION-FIND and PRIM'S WITH HEAP. IIT-CS430

nn-code-hacks

param-ext

CS550 Project Experiment Bundle

peerread

Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

php-accounting-program

This is the final project for the Capstone Design Project class on 7th semester of undergraduate. We made an accounting program based on php, which aimed to manage the stock, order of company's production. On the time of the project was in progress, the real time program was not familiar in Indonesia. So, we wanted to start the initiation to develop an online accounting program. The demo of the website can be seen on the ppt file (however it was written in Korean, please refer to the screen captures).

rcnn

Recurrent & convolutional neural network modules

secret-image-sharing

This program based on the 1979 Shamir's secret sharing, and secret image sharing by CC Thien http://www.sciencedirect.com/science/article/pii/S0097849302001310 Instead of one bit of secret message, we applied images and treat its pixels as bunch of secret message. Then, we calculate each of the pixel as coefficients of polynomial. Here, we wanted to share the image-keys with a group of n participants. The condition is that it is possible to decrypt the message with only t participants, where 1<=t<=n. In this program, we modified the computation under finite field -> Galois Field (2^8), instead of standard arithmetic calculation.

secret-sharing

This program based on the 1979 Shamir's secret sharing, which is the first secret sharing scheme ever published. Supposed we have one bit of secret message that wanted to be encrypted, and wanted to share the keys with a group of n participants. The condition is that it is possible to decrypt the message with only t participants, where 1<=t<=n. In this program, we modified the computation under finite field -> Galois Field (2^8), instead of standard arithmetic calculation.

secret-sharing-py

Re-create the secret sharing repo with Python

svm-trsprncy

text-summary-transparency

text-transparency

text_nn

Text classification models. Used a submodule for other projects.

titanic-disaster-prediction

Play with Titanic Datasets. Preprocessing the data into binary representation and predict the survival of the passengers using Python and Scikit learn library