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adaboost

Adaboost algorithm is a tree based classification algorithm.

arcade-learning-environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

art-masterpiece-classification

bionet

credit-card-fraud-detection

Credit card fraud dataset is a perfect example of imbalanced skewed dataset with great deal of records. In this project I tried to use some technics like precision, recall and F1-score to analize the accuracy of constructed model.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

digikala-comment-verfication

In this project I tried to get down to basics of natural language processing using Digikala comments dataset

emojifier

A simple handson NLP project, constructing a model to predict emojy based on sentence using Keras and Pytorch frameworks.

flask-api-example

flask-swagger-image-classifier-api-dockerized

This project aims to get an image's url as a request, and classify the image to return the result to user via OpenAPI protocols.

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

histopathologic-cancer-detection

This is a notebook for the Histopathologic Cancer Detection competition at Kaggle.

iciar-challenge-2018

javamessanger

It's a hands-on project with java.

leitner

A private, user friendly, fully functioning Leitner box provided with flashcards inheritance feature

library-try-hack-me

This is a hacktivity of tryhackme.com.

linear-regression

In this project I tried to implement linear regression and regularized linear regression by my own and compare performance to sklearn model.

logistic-regression

In this project I tried to implement logistic regression and regularized logistic regression by my own and compare performance to sklearn model.

made-template

Template repository for the Methods of Advanced Data Engineering course at FAU

neural-network

This is a project influenced by coursera machine learning course presented nt Prof.Andrew Ng. In this project I used ex4 dataset and implemented exercise4 with python.

q-learning-mountain-car

Mountain Car is a Gym environment. I used this environment to train my model using Q-Learning which is a reinforcement learning technic.

qr-tag-generation-for-contact-share-using-django-and-django-qr-code

This is a sample Django web application with login feature which lets users share their contact data via QR code

receipt-ocr-using-django-and-pytesseract

This is a Django project, which aims to provide a simple front-end for users to upload their receipts photo and get them annotated by pytesseract library.

replicating-human-joint-moments-using-neural-networks

shirineh.com

Shirineh Co. Official web page

tfodcourse

traco-hexbug

This is a project preseneted by Prof. Dr. Andreas Kist at FAU. The aim of this project is to detect the precise location of all Hexbugs in videos. We are provided with 100 videos, containing ~ 101 frame each, alognside the annotations of Hexbugs' heads' location at each frame.

unet

voice-assistant-unisg-openai-whisper-and-language-models