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Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

Cuda 11.04% Lua 28.77% Python 0.92% MATLAB 58.48% M 0.17% Makefile 0.42% Shell 0.20%

deep-photo-styletransfer's Introduction

About Me:

๐Ÿ”ญ Iโ€™m currently working as a Machine Learning Engineer
๐ŸŒฑ Iโ€™m currently studying VertexAI(GCP)
โšก I consider myself a generalist, problem solver oriented, and I spent the last four years working with Machine Learning

๐ŸŒ Socials:

LinkedIn

๐Ÿ’ป Tech Stack:

Below, you will see some of the tech stacks that I've worked with so far

  • Languages
  • Python JavaScript TypeScript Lua C++ Java HTML5

  • Cloud Providers
  • AWS Google Cloud

  • Frameworks
  • NPM NodeJS UNREAL React React Router FastAPI Fastify Express.js Django DjangoREST Apache Airflow Apache Nginx CMake Socket.io

  • Databases
  • MariaDB MySQL Postgres Redis SQLite ApacheCassandra

  • Machine Learning
  • Keras NumPy Pandas PyTorch scikit-learn SciPy TensorFlow

  • Infra
  • LINUX Docker Terraform Kubernetes

๐Ÿ“Š GitHub Stats:


deep-photo-styletransfer's People

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