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Hi stalker 👋

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About me I from Argentina.When I was a child I played with insects to predict their behavior. Then in the school i participate in the mathematics Olympiad. In the university I graduated from engineering in food. Right now I do the same thing I did since I was a boy, I solve problems but I use artificial intelligence to understand, model and predict in order to have the best performance. 👉 Technology that I use: Python, Tensorflow, Pytorch , R, Keras, Pandas, Scikit Learn, open cv, Azure, Google Cloud , html, css, javascript, gradio, streamlit. google colab, docker, gitlab, github 👈

  • 📫 How to reach me: link

cesar riat's Projects

astra icon astra

Self-training with Weak Supervision (NAACL 2021)

avatarify icon avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

chatgpt_extension icon chatgpt_extension

ChatGPT Extension is a really simple Chrome Extension (manifest v3) that you can access OpenAI's ChatGPT from anywhere on the web.

detr icon detr

End-to-End Object Detection with Transformers

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gradio_nlp icon gradio_nlp

A series of notebooks demonstrating how to build simple NLP web apps with Gradio and Hugging Face transformers

grounded-segment-anything icon grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP - Automatically Detect , Segment and Generate Anything with Image and Text Inputs

hashformers icon hashformers

Hashformers is a framework for hashtag segmentation with transformers.

ia icon ia

Algunos desarrollos en IA

interface-2.0 icon interface-2.0

Tutorial del Software Interface 2.0 el cual fue hecho en NET. y SQL, con el fin de mejorar la interfaces gráficas y automatizar el conocimiento

intro_keras icon intro_keras

Taller de introducción a las redes neuronales y la utilización de la librerías Keras para su implementación.

keras-idiomatic-programmer icon keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

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