Paulo Cysne's Projects
My website
Anomaly detection related books, papers, videos, and toolboxes
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
An evergrowing, professionally curated list of resources on everything decision-making: videos, tutorials, books, papers, theses, articles, datasets, and open-source libraries.
A collection of AWESOME things about Graph-Related LLMs.
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".
The repository to showcase the best framework for tabular data - the Awesome CatBoost
Case Studies using non-parametric and machine learning methods
Python code for part 2 of the book Causal Inference: What If, by Miguel HernΓ‘n and James Robins
Closing dataset, all classes
This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.
Lightweight, useful implementation of conformal prediction on real data.
Free Data Engineering course!
Data science interview questions and answers
Tips on Python code for Data Science
B21145 - Deep Learning for Time Series Data Cookbook
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
fastapi + react = stablediffusion
Feature Engineering book by Sinan Ozdemir code
An open source python library for automated feature engineering
data cleaning and curation for unstructured text
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
Generalist model for NER (Extract any entity types from texts)
MLOps Hands-on Guide: From Training to Deployment and Monitoring: A day long workshop about MLOps
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Julia Jupyter/Colab Notebooks