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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

air-quality

NYU Shanghai air quality monitoring network source code

biomedical-ner-with-hunflair-and-biobert

Comparison of the F1-scores of the models on NER tasks for the NCBI Disease corpus. Proved that BioBERT outperforms the HunFlair's performance.

covid-19-deep-learning-cnn-model

Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative, the real results are positive for some patients when they review the chest X-ray images. For now the public dataset contains less amount of data which you can see in the dataset2 folder. We get this dataset from open-source https://github.com/ieee8023/covid-chestxray-dataset, but for sure it is not enough to train a proper deep learning model. But just to show that how easy it is to create an AI for the early detection of these kind of viruses. Just keep in mind that this cannot be used for diagnosis without training many more images in high-resolution and professinal medical tests. There you go! Let's work together to fight against COVID-19. As a tool, I used Keras with Tensorflow background, and the model can be improved by addig more convolution and pooling layers, and increasing the number of feature detectors'. Don't forget to upvote. Best Regards.

covid-19-detection

COVID-19 Detection Using Chest X-Ray Images and Deep Convolutional Neural Networks

cs310-algorithms

Storing my work on the CS310 Algorithms course at @Truman State University

cs480-artificial-intelligence

Storing my work on the CS480 AI course @Truman State University

cs480-cnn-pneumonia-detector

Implementation of a Pneumonia Detector in TF Keras using Convolutional Neural Networks. Dataset retrieved from Kaggle.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dl-demos

Assorted exercises in Pytorch

embedded-challenge-2022

6843 Embedded Challenge

falcon-air-reservation-system

A simple desktop app developed in C# in order to fulfill my course's project requirement. It has an efficent UI interface, which allows the user to reserve tickets, as well as "create" flight schedules for different airlines.

ffpytorch

Forward Forward Implementation improvements

flair-nlp-biomed

A very simple framework for state-of-the-art Natural Language Processing (NLP)

flavjoxhelollari

Config files for my GitHub profile.

machinelearning

NYU ECE GY-6143

ml-workspace-python-for-data-science

Storing solutions to various problems in Data Science and Machine Learning, via the implementation of different algorithms. Reference: Python Data Science Handbook by Jake VanderPlas.

moneymate

This project is a Java desktop app that manages finances with a GUI and database integration.

non-targeted-adversarial-attacks

A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition

nyu-fall-22-datascience-bootcamp

The is the git repo for the fall22 data science bootcamp. You can find all thing here from Lecture Slides, Course and homework material and extra resources..

nyu-tandon-leetcode-bootcamp

NYU Tandon Career Hub LeetCode Bootcamp Fall 2022

performance-preserving-optimization-of-diffusion-networks

Final project for HPML Spring 23 at NYU

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

roberta

sql_llm

tic-tac-toe

simple tic tac toe game in Python. Template @techvivid