elaysason Goto Github PK

analysis-sp500

Using pca and transformations to analyze s&p dataset.

crypto-exp3

Using exp3 and its variations of it to select coins to invest in.

deep-learning-comparining-overfitting

Implementation of different networks and comparison between them.

deep-learning-double-decent-rademacher-complexity

determine-sentence-emotion

Detrimane the emotion of a tweet using deep learning and LSTM

deterministic-drone-problem

In this problem we are the head of a delivery agency and try to deliver the packages in the shortest time possible.

divorce-vs-married-couples-graphical-analysis

Analyzing divorce and marriage dynamics using network analysis and graph theory.

elaysason

Config files for my GitHub profile.

faceregonision

fantasy-league-recomender

Our fanasy league project

fastbook

The fastai book, published as Jupyter Notebooks

generative-learning-with-discrete-and-continuous-vae

Using VAE based netural network in order to learn the disiturbtion space which the photos are getting sampled and generate new photos.

google-play-apps

Statistics project about google play apps.

hw2_094295_322995358_322228974

implementing-movies-recommender-systems

implement various recommender system models and compare their performance.

mask-wearing-with-deep-learning

Detrimane if a person wears a mask or not using deep learning.

name-entity-recognition

non-deterministic-drone-problem

In this problem we are the head of a delivery agency and try to deliver the packages in the shortest time possible. Our clients are operating in a non-deterministic manner.

outlier-detection

Utilizing PySpark for distributed data processing to perform outlier detection and clustering on a dataset containing bid request information related to online advertisements, using K-means and Bisecting K-means algorithms, providing clear visualizations of the results

portfolio-allocation

This project was focused on optimizing portfolio allocation for September 2022 using past data in order to maximize profits.

reinforcement-learning-drone-problem

Continuing the drone problem presented in https://github.com/elaysason/Deterministic-Drone-Problem but in this itertion, the drone must navigate an unknown environment under RL settings. There is no client, only a stationary place to drop the packages off.

sepsis_detection

This is our sepsis prediction project

svm-kernels-comparison-mnist

Commparing support vector machine vs. Radial basis function on the MNIST dataset

tokenize-credit-card-number-with-flask

Credit Card Tokonizer App

translating-from-german-to-english

In this project we used T5 model in order to translating sentences from German to English.

variational-autoencoder-exploration-with-minst

Implementing Variational Autoencoder and explored the importance of each part of its loss function.

weather-prediction-project

Creating Kafka stream and use it to predict the precipitation across the globe.