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SMOTE-Pytorch
Pytorch Implementation of SMOTEClustering-my-songs-on-Spotify
Exploring Audio Features, classifying into moods and building a Machine Learning ApproachNeural-Style-algorithm.pytorch
The implementation of Neural Style algorithm using Pytorch.AI_self-driving-car
Extensive study and research on Udacity Self-driving Car Challenge 2Object-Detection_from-Scratch
NeuralNetworksFromScratch
This repository contains my practice codes based on the book "Neural Networks From Scratch".CDP_EDITH
This is a Team D's final project for Capstone Design Project course at Sungkyunkwan University (Fall 2021).KNN-python-implementation
K-Nearest Neighbours is considered to be one of the most intuitive machine learning algorithms since it is simple to understand and explain. Additionally, it is quite convenient to demonstrate how everything goes visually. However, the kNN algorithm is still a common and very useful algorithm to use for a large variety of classification problems. If you are new to machine learning, make sure you test yourself on an understanding of both of this simple yet wonderful algorithm.sudoku-solver.pytorch
Using Relational Reasoning in Deep Learning to Solve SudokuEnd-to-End-Deep-Learning-Approach-for-Autonomous-Driving-DuckieTown
This work is a Pytorch and Keras implementation of NVIDIA's DAVE-2 architecture used on DuckieTown simulator.cosmos-generation
Introduction-to-Attention
K-means-Image-Compression
This project is an introduction to K-means clustering through its Python implementation. Also, it includes its application to image compression.Kotlin-Basic-Syntax-into-Java-Translator
The program translates the basic Kotlin Syntax into a Java code. Kotlin.g4 is a grammar written using antl4 that accepts a code written in Kotlin, while Kotlin2Java.java converts the code using rules specified. However, it does not handle String templates.Love Open Source and this site? Check out how you can help us