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Hi 👋, I'm Johnny

A passionate AI developer from Spain

johnnynunez

johnnynunez

  • 🧑🏽‍💻 I’m 26 years old.
  • 🤔 I'm developer using Python, C++, Javascript and I use a variety of frameworks oriented to AI, Tensorflow, PyTorch, AWS.
  • 🔭 I’m currently working on HupBa Group
  • 🌱 I’m currently learning Data Science, Computer Vision and BlockChain.
  • 📲 I’m really interested in technology in general. From hardware to software in any field, but especially in video games!
  • 📐 I am currently starting PhD in Computer Vision.
  • 📫 How to reach me: on Universitat de Barcelona and Universitat Autonoma de Catalunya. ([email protected])
  • 🚀 I’m very interested in AI, quantum computing and blockchain, especially in cryptos.
  • 💬 Ask me about all you want. I have several interesting repositories that you can see.

Connect with me:

johnnync13 johnnycano johnnync13 johnny.ia @johnnynuca14 johnnync13

Languages and Tools:

android arduino aws azure bash blender bootstrap c circleci cplusplus csharp css3 d3js django docker flask gcp git heroku html5 java javascript jenkins kubernetes linux matlab mongodb nodejs opencv pandas postgresql postman python pytorch qt scikit_learn seaborn selenium symfony tensorflow travisci typescript unity unreal vuejs vuetify

Support:

johnnycano johnnycano




johnnynunez

 johnnynunez

johnnynunez

Johnny's Projects

ia4business icon ia4business

Curso de Inteligencia Artificial aplicada a Negocios y Empresas

ijepa icon ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

lap icon lap

Linear Assignment Problem solver (LAPJV/LAPMOD).

lsmith icon lsmith

StableDiffusionWebUI accelerated using TensorRT

ml_resources icon ml_resources

GitHub Repo with various ML/AI/DS resources that I find useful

ml_ub icon ml_ub

Machine Learning Course @ University of Barcelona

models icon models

Models and examples built with TensorFlow

monai-deploy icon monai-deploy

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

nvtop icon nvtop

NVIDIA GPUs htop like monitoring tool

probabilidad icon probabilidad

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch3d icon pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

r-basic icon r-basic

Curso de introducción a la estadística descriptiva con R Studio

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