joaofig

João Paulo Figueira's starred repositories

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

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RustPython

A Python Interpreter written in Rust

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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image

Encoding and decoding images in Rust

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python-benedict

:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.

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kvision

Object oriented web framework for Kotlin/JS

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The-Elements-of-Statistical-Learning-Python-Notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

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data-science-interviews

Data science interview questions and answers

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Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

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sidetable

sidetable builds simple but useful summary tables of your data

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libra

Ergonomic machine learning for everyone.

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sweetviz

Visualize and compare datasets, target values and associations, with one line of code.

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kneed

Knee point detection in Python :chart_with_upwards_trend:

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scikit-learn-tips

:robot::zap: 50 scikit-learn tips

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PRML

PRML algorithms implemented in Python

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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