mlafuentem's repositories
Scrapegraph-ai
Python scraper based on AI
KAN_Titanic
Code to train and graphically represent de Titanic model with pykan (Python package) using KANs. Indeed, the whole idea of KANs promises to reduce the architecture complexity of models, compared to MLP. The activation functions can easily be graphically represented, contributing to ML explainability.
Marcuswas-bert-drug-review-to-condition
Fine-tuning of a BERT-base-uncased model using HuggingFace Transformers library, on the dataset Drugs.com reviews (see below) with the purpose of text classification.
Time-Series-PatchTST
I conducted an experiment following the ideas of Nie et al. (2003) https://arxiv.org/pdf/2211.14730.pdf However, I changed their setting, using NeuralForecast for predictions on the Exchange dataset, which represents exchange rates of 7 different countries' currencies from 1990 to 2010. I extended the benchmark over other models.
RAG_talk_to_postgreSQL_database
This is a demonstration of how to set up an app through which you can use chatGPT to send text questions and fetch your data automatically from a postgreSQL database (Supabase)
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
cross-encoders-and-re-ranking-in-RAG
Deeplaerning.AI notebook from the course 'Advanced Retrieval for AI with Chroma" on cross-encoders and re-ranking
Chat-with-multiple-pdfs-LLM
A Langchain app that allows you to chat with multiple PDFs
yt-share
Share private youtube videos automatically, youtube API fails.
openai-python
Python example app from the OpenAI API tutorial
visual-chatgpt
VisualChatGPT
scrape_apa_citations_from_Gscholar
Code for Python to scrape APA citations from a specific reference
Defensive-play-across-teams-in-La-Liga
Heatmaps showing where La Liga teams execute defensive play. Selection of matches from season 2020-2021
Scrapping_currency_data
Code to scrape currency exchanges data from the web
SQL_BI_analyses
What to do when you suspect a dip in engagement on your platform? What indicators can you look at? What kind of SQL queries can you perform to get clear evidence? What recommendations can you put forward? Look at my latest notebook based on a real case, with actual SQL code and visualizations with Visual Explorer! Feedback is welcomed!
Time_series
Time series analyses
gan
Tooling for GANs in TensorFlow
Analyses
Analyses used to create the Computational Thinking Test for Adults (ATTA)
Conditions_for_linear_regressions-R-
R code: 5 Functions to test linear regression assumptions (linearity, homoskedasticity, autocorrelation, normality of errors and multicolinearity). Prepared for one IV regressions (except multicolinearity function with three IV). This includes recommendations to fix unmet conditions, and solutions.