İsmail Çetin's Projects
A repository that I intend to put paper codes (for DL, ML, RL and AI).
Algorithms (BFS, DFS...) and Challenges from various websites (LeetCode, HackerRank) is here
5th Term Lecture Algorithms and My Grades
Review of forgotten parts and completion of last lectures
Unfinished course codes
Back-end frameworks that I used up to now
My automation for accessing content easily. Feel free to use
Codes from the books that I read and will read is here
Source code for ClimateLearn (graduation playground)
5th term Computer Vision homeworks and my solutions
C++ Revision to brush up on my skills, to be able to write my own application in cpp locally
The solutions to Cracking the Coding Interview Solutions book
Solution to CS224W Graph Neural Networks by Jure Leskovec
DeepLearningwithFastAI book implementation of codes and my notes
Django full course Udemy
Docker React tutorial + AWS
ElectronJS tutorials from their original page
Introductory Level code based on the Andrew Mead's Udemy Course
FastAPI intro
FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be
First time with React + FastAPI, soon fully-fledged site will be released
Udemy course which is based on the Flask library. Some simple CRUD operations are done.
The implementation Aurelien Geron - Machine Learning 2nd edition.
Instant neural graphics primitives: lightning fast NeRF and more (RemPeople internship playground)
Computer Engineering
The compilation of code samples from various Machine Learning related webpages. (Udacity, University of Michigan Lectures etc.)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent