peyxw Goto Github PK

.github

Default configuration for @TheAlgorithms repositories

canli-deprem-haritasi

Türkiye üzerinde olan her depremi canlı olarak izliye bilirsiniz.

chisenoa

💎 My own bio I guess...?

deprem-api

Seçiminize göre AFAD veya Kandilli Rasathanesi'nin verilerini JSON çıktısı veren proje

dkarakay

ejs-blog

Node, Express, Ejs ve MongoDB kullanan iyi bir basit blog.

face-effect-with-python

Make your own instagram effect with python

fault-lines-api

This api is for you; Data such as Micro Plates and Major Fault Zones, Plate interfaces, Plate Movements in a single JSON file. presents it to you.

fivemapi

A small and useful module. You can forward Fivem server information on discord!

furtsy

javascript

Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.

jlengstorf

make-a-alculator-with-python-

make a alculator with python

mongodb-node-express-blog

Simple example of MongoDB, Node.js, Express, Mongoose, EJS blog

neural-networks-with-python-and-pytorch

Neural Networks with Python and Pytorch

python

All Algorithms implemented in Python

python-blockchain

A simple blockchain system created with Python

python-blockchain-

🚀Build your simple and first blockchain network with python

python-face-recognition

In this warehouse, I told you how you can make a face recognition system.

python-opencv-car-recognition

In This Warehouse, I Showed You How We Can Detect Cars With Python opencv

python-yolo-object-recognition

In This Warehouse, I Explained How to Identify Objects with Yolo

quantum-computer

A Quantum Computer that isn't too complicated project.

self-driving-cars

I Told You How To Make A Self-Driving Car In GTA 5.

shadowartist

This module lets you do shading

unsupervised-machine-learning

K-Means clusternig example with Python and Scikit-learn

vehicle-and-pedestrian-detection-using-haar-cascades

Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier

vehicle-detection

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).