Gustavo Bruschi (gusbruschi13)

gusbruschi13

Geek Repo

Company:Vybrant (Dell Technologies)

Location:São Paulo (SP) - Brazil

Home Page:https://www.linkedin.com/in/gustavo-bruschi

Twitter:@GusBruschi13

Github PK Tool:Github PK Tool

Gustavo Bruschi's starred repositories

nlp_course

YSDA course in Natural Language Processing

Language:Jupyter NotebookLicense:MITStargazers:9514Issues:365Issues:46

FriendsDontLetFriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

LLMLingua

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

Language:PythonLicense:MITStargazers:4060Issues:32Issues:102

QuantEcon.py

A community based Python library for quantitative economics

Language:PythonLicense:MITStargazers:1884Issues:150Issues:282

pyts

A Python package for time series classification

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ML_Finance_Codes

Machine Learning in Finance: From Theory to Practice Book

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MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:1187Issues:14Issues:217

pytimetk

Time series easier, faster, more fun. Pytimetk.

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pyspi

Comparative analysis of pairwise interactions in multivariate time series.

Language:PythonLicense:GPL-3.0Stargazers:180Issues:7Issues:20

ppi_py

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Language:PythonLicense:MITStargazers:172Issues:5Issues:4
Language:Jupyter NotebookLicense:GPL-3.0Stargazers:127Issues:10Issues:0

resources

Supplementary resources for the textbook Engineering Design Optimization by Joaquim R. R. A. Martins and Andrew Ning

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data-engineering-roadmap

roadmap de engenharia de dados da jornada 2024

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Getting-Started-with-NLP

This repository accompanies the book "Getting Started with Natural Language Processing"

Language:Jupyter NotebookStargazers:80Issues:7Issues:1

resources

A collection of resources for learning and research.

Language:Jupyter NotebookLicense:MITStargazers:79Issues:7Issues:2

python-causality-handbook-ptbr

Inferência Causal para os Corajosos e Verdadeiros. Uma abordagem divertida, mas rigorosa, para aprender sobre estimativa de impacto e causalidade.

Language:Jupyter NotebookLicense:MITStargazers:67Issues:0Issues:0

DataProjectStarterKit

Estrutura completa para iniciar um projeto de dados com Python, abrangendo ambiente, git, desenvolvimento, testes e documentação.

Language:PythonStargazers:59Issues:0Issues:0

FinDKG

Data and Model implementation for paper: FinDKG: Dynamic Knowledge Graph with Large Language Models for Global Finance

Language:PythonLicense:GPL-3.0Stargazers:46Issues:2Issues:1

ConformalImpact

Causal Impact but with MFLES and conformal prediction intervals

Language:PythonLicense:MITStargazers:33Issues:0Issues:0

youtube-appendix

Resources for some of our education content

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:19Issues:0Issues:0

Do-Jupyter-Notebook-Pro-Deploy

Repositório central do segundo Workshop

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scikit-churn

Exploring some issues related to churn

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boosting-scorecards

Boosting scorecards

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Batch-Serving-ML-Pipeline

create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools

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linear-discrimnants

Classification Using Linear Discriminant Functions and Boosting

Language:PythonStargazers:4Issues:2Issues:0

streamlit-deploy-101

Um guia prático sobre como transformar seus notebooks Jupyter em aplicativos web interativos usando Streamlit. Destinado a cientistas de dados e entusiastas de Python, este repositório oferece um passo a passo para levar suas análises e visualizações para a web

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crypto_forecast

Time Series Forecasting of Cryptocurrencies

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:2Issues:0Issues:0

aps-va-calibration

An attempt to improve APS conformal prediction method for multi-class problem by using VennABERS calibrators on the pre-trained model.

Language:Jupyter NotebookLicense:MITStargazers:2Issues:0Issues:0