Mikel Menta Garde (mkmenta)

mkmenta

Geek Repo

Company:Wide-Eyes Technologies

Home Page:linkedin.com/in/mikel-menta

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Mikel Menta Garde's repositories

ColorMNIST

Implementation of ColorMNIST (in a DataLoader for PyTorch)

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domain_adapt_segm

Implementation of my Master Thesis "Learning to adapt class-specific features across domains for semantic segmentation".

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rag-chatgpt

This is a simple lab I have implemented to test Knowledge Augmented or Retrieval Augmented Generation (RAG) with Large Language Models. In particular, I am using LangChain, Streamlit, and OpenAI ChatGPT API.

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python-package-example

This repository contains a basic python package example with the aim of showing how a good python package should look like.

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base-discord-bot

A base bot for Discord in Python that implements a few interactions.

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20-20-20-break-for-eyes

20 20 20 rule app

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chatgpt-research

This web application facilitates researchers in conducting in-depth studies and analysis of user conversations. The website is structured similarly to the original ChatGPT portal, and it is connected to OpenAI's ChatGPT-API. This platform allows researchers to collect and store user interactions for later analysis and publication of their findings.

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deep-learning-project-template

Deep Learning base project template using my favourite following AI stack.

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how-to

Set of examples on how to use several libraries

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stargan

Modification of the official Implementation of StarGAN to train the network easily with new datasets.

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ThickMNIST

Implementation of ThickMNIST (in a DataLoader for PyTorch)

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ThinMNIST

Implementation of ThinMNIST (in a DataLoader for PyTorch)

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yelp-camp-python

Final project from the Web Developer Bootcamp from Colt Steele in Udemy translated into Python using Flask.

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pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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youtube-transcript-api

This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!

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