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followers: 5.0 following: 9.0 repos: 15.0 gists: 0.0

Name: David Levin

Type: User

Company: Fiverr

Bio: Machine Learning Engineer @ Fiverr

Location: Bar Ilan University

Blog: https://www.linkedin.com/in/davidlevin40/

👨🏽‍💻 About me

🎓 B.Sc. Computer Science graduate from Bar-Ilan University.
🌐 Pursuing a Master's degree in Electrical Engineering, specializing in Information Processing and Data Science.
📖 My Master's research focused on Graph-based Feature Selection models for machine learning applications.
⚡️ Passionate about the world of Artificial Intelligence, particularly Deep Learning and its industrial applications.

🔭 Technologies and Tools

💻 Current project

GB-AFS: Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette.

Official implementation of the Graph-Based Automatic Feature Selection (GB-AFS) model, a novel filter-based feature selection method for multi-class classification tasks. GB-AFS automatically determines the minimum combination of features required to sustain prediction performance while maintaining complementary discriminating abilities between different classes, without the need for user-defined parameters.

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David Levin's Projects

anomaly-detector

Simple anomaly detector for "Advanced Programming 1" in C++

arkanoid

My project from OOP Intro course - Block breaker arcade game.

artgan

ArtGAN: Art Style Transfer with Self-Attention Generative Adversarial Networks

blockchain-system

Blockchain, Smart Contract, Cryptocurrency System & RSI trading bot.

davidlevinwork

design-patterns

C++ Design Patterns Implementations

flight-simulator

C# Desktop Application using WPF .NET architecture with MVVM Architecture.

fully-connected-neural-network

Digit recognition (MNIST dataset) using a fully connected neural network (94+ on test)

gbfs

machine-learning-algorithms

Machine Learning algorithms implementation.

movie-recommendation-system

Implementation of a recommendation system based on Collaborating Filtering: User based & Item based. Construction of prediction matrices using various evaluation indices: ARHA, RMSE, Precision@k etc.

multi-domain-agent

Multi domain agent, using PDDL files

q-learning-agent

Q-Learning Agent, using PDDL files

speech-recognition-with-pytorch

CNN implementation in Python with PyTorch, on audio .wav files (92+ on test)

x86-assembly

Assembly program creating pString struct and performing manipulations on it.

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