tugot17/KNN-Algorithm-From-Scratch

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2
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Jupyter Notebook
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MIT License
Created almost 6 years ago
Updated almost 6 years ago

tugot17/KNN-Algorithm-From-Scratch

tugot17

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The K Nearest Neighbors algorithm, written from scratch using the Python programming language

YOLO-Object-Counting-API

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

K-Means-Algorithm-From-Scratch

The K-Means algorithm, written from scratch using the Python programming language

Jupyter Notebook

data-science-blog

Data science blog, https://tugot17.github.io/data-science-blog/

Jupyter Notebook

FastAPI-Model-Deployement

Template of simple API for machine learning models deployment

Linear-Regression-From-Scratch

Linear Regression concepts and intuitions presented using Jupyter Notebooks

Jupyter Notebook

Swarm-Algorithms

Python implementation of swarm algorithms used for solving non-convex optimization problems

ML-In-Cybersecurity-Paper

Summary of the presentation on Real and Stealthy Attacks on State-of-the-Art Face Recognition Systems at the Seminar: Machine Learning in Cyber-security at FU Berlin

RNN-Time-lagged-Autoencoder

Tensorflow 2.0 implementation of time-lagged autoencoder using Recurrent Neural Networks

Jupyter Notebook

Vision-Transformer-Presentation

Presentation on An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Discord-Language-Detection-Bot

Restrict the use of forbidden languages on your discord server with transformers

Pytorch-Lightning-Templates

Set of templates for popular deep learning problems using PyTorch Lightning

YOLO-Paper

Summary of my presentation about Object Detection using the YOLO Algorithm at the Seminar: Artificial Intelligence - Autonomous Vehicles at FU Berlin

surfer_seo_hacatohon

Jupyter Notebook

RGB-Infrared-Classification

Research code for experimenting with different approaches to image classification from multi-channel image sources

Jupyter Notebook

Recommendation-With-Transformers

Recommender system for Steam Games, based on a BERT-like approach for recommendations

Jupyter Notebook