gusbruschi13

gusbruschi13's Stars

• stanford-oval/storm

  An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

  Language:Python13.8k1001521.3k

• cxli233/FriendsDontLetFriends

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

  Language:R6.5k1197253

• microsoft/LLMLingua

  [EMNLP'23, ACL'24] 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:Python4.8k34134266

• QuantEcon/QuantEcon.py

  A community based Python library for quantitative economics

  Language:Python2k1502872.3k

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook1.9k628507

• johannfaouzi/pyts

  A Python package for time series classification

  Language:Python1.8k2685166

• scikit-learn-contrib/MAPIE

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

  Language:Jupyter Notebook1.3k16257112

• Azure/azure-search-vector-samples

  A repository of code samples for Vector search capabilities in Azure AI Search.

  Language:Jupyter Notebook778269114331

• business-science/pytimetk

  Time series easier, faster, more fun. Pytimetk.

  Language:Python7051915960

• lvgalvao/data-engineering-roadmap

  Jornada engenharia de dados 2025

  Language:Python443175109

• DynamicsAndNeuralSystems/pyspi

  Comparative analysis of pairwise interactions in multivariate time series.

  Language:Python21282227

• fbaptiste/python-blog

  Language:Jupyter Notebook17311045

• mdobook/resources

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

  Language:Python10814024

• ekochmar/Getting-Started-with-NLP

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

  Language:Jupyter Notebook897133

• numeristical/resources

  A collection of resources for learning and research.

  Language:Jupyter Notebook887272

• rdemarqui/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 Notebook810012

• AidanCooper/shap-clustering

  How to use SHAP values for better cluster analysis

  Language:Jupyter Notebook55305

• felipeangelimvieira/prophetverse

  A multiverse of Prophet models for timeseries

  Language:Python402263

• probabl-ai/youtube-appendix

  Resources for some of our education content

  Language:Jupyter Notebook35703

• tblume1992/ConformalImpact

  Causal Impact but with MFLES and conformal prediction intervals

  Language:Python34103

• ambarishg/AZURE-AI-VECTOR-SEARCH

  Language:Jupyter Notebook272224

• koaning/scikit-churn

  Exploring some issues related to churn

  Language:Jupyter Notebook17211

• BreytMN/datascience-done-right

  Data science tips and tricks

  Language:Jupyter Notebook1630

• lvgalvao/Do-Jupyter-Notebook-Pro-Deploy

  Repositório central do segundo Workshop

  15106

• deburky/boosting-scorecards

  Boosting scorecards

  Language:Jupyter Notebook12101

• Ezzaldin97/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

  Language:Python9202

• anwarhermuche/Recommendation-System-Using-LLMs

  Language:Jupyter Notebook52

• sskiswani/linear-discrimnants

  Classification Using Linear Discriminant Functions and Boosting

  Language:Python4202

• lobvh/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 Notebook31

• k3ybladewielder/crypto_forecast

  Time Series Forecasting of Cryptocurrencies

  Language:Jupyter Notebook2100