Some intro to ceng/cs stuff written in python
Every assignment given in the course
Some verilog stuff
Many tasks done in prolog, haskell, and c++ to understand concepts in different programming languages.
A task which aims to make people familiar with reverse engineering
A task which aims to teach people how to smash the stack for fun & profit
A task which aims to teach optimization methodoligies for x86(64) architecture
Simple shell for linux.
Threading mutexes and semaphores practice for linux.
EXT2 filesystem defragmentation which moves every data block to begining of the disk.
Codes developed to perform various tasks on a PIC18F8722 based board. Both in assembly and C, even a simple RTOS project.
Homeworks and project done during 2016-2017 Spring Semester. No learning framework has been used in neither homeworks nor the project all codes have been written in python from scratch using only numpy, without help of any frameworks.
k-Nearest Neighbor
SVM/Softmax Classifier
Fully Connected Networks for regression/classification
Image classification
Next Character Prediction using Fully Connected Networks
Denoising Auto Encoders
CNNs
Saliency Maps
Fooling CNNs
Deep Dreaming
CIFAR-10 Dataset
TinyImageNet-100-A
Vanilla RNNs
LSTMs
Image Captioning using Microsoft COCO Dataset
Next Character Prediction using RNNs and LSTMs
Basic Question Answering using synthetic dataset generated in Turkish.
Dataset Generator
3 Different approaches using RNNs and Fully connected layers
Comparison of those approaches