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car-pricing-prediction-by-linear-regression-data-science

predicts one of the most well-known regression problems, which is Car Pricing Prediction by some features (e.g. the age of car, selling price, fuel type etc.).

chest-xray-disease-detection-chexpert-deep-learning

We have implemented various Artificial Neural Networks to evaluate and compare the performances of different kinds of models such as Single Layer Perceptron’s, Multi-Layer Perceptron’s and Convolutional Neural Networks.

extend-morphological-disambiguator

Extending morphological disambiguator package to disambiguate words

gaussian-parametric-classification

parametric classification where class densities are assumed to be Gaussian

hand-written-digit-recognition

Using different Machine Learning algorithms to predict handwritten digits (MNIST)

hate-speech-detection

Detecting hate speeches using different ML algorithms in English and Turkish

image-classification-dimensionality-reduction-sklearn-data-science

Solves the problem of image classification by using 5 different well-known classification methods, which are namely K-Neighbors, Perceptron, SVM, Decision Trees and Random Forests

image-compression-by-k-means-clustering-sklearn

t solves the problem of image compression by using one of the well-known clustering methods, which is called KMeans Clustering.

image-reconstruction-using-deep-encoder-decoder-network

a deep encoder-decoder network architecture on the CelebA dataset

imageclasificationwithbof

classify the dataset via bag of features (Computer Vision)

microservicesspringeurekafeign

models

Models and examples built with TensorFlow

n-gram-sentence-generation-nlp

Using uni-bi-tri gram models to generate sentences

nearest-mean-and-k-nearest-neighbor-classification-from-scratch

nearest-mean and k-nearest neighbor (k-NN) algorithms on a subset of the MNIST dataset.

negotiationagent

A negotiation agent prepared for Introduction to AI course

oscar

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

simple-lesk-algorithm-for-word-sense-disambiguation

write and validate the simple Lesk algorithm for Word Sense Disambiguation

slp-mlp-from-scratch-mnist

Single Layer Perceptron and a Multi-Layer Perceptron. You are going to train and test the implemented algorithms on the MNIST dataset

solving-n-puzzle-problem-with-search-algorithms

Solving N-Puzzle Problem with Search Algorithms with the following search algorithms BFS, DFS, UCS, A*

solving-travelling-salesman-problem-with-genetic-algorithm

sudokupuzzledetectionhoughtransform

Sudoku puzzle detection using opencv and python

sudokupuzzlerecognition

recognize the digits in the detected sudoku image

wordtovec-algorithm-skip-gram-analogy-task

Train wordtovec algorithm with skip gram, Select 10 cases for the analogy task. Find 10 most frequent words (non-stop words) in the corpus. Find the 10 nearest words to these 10 words