gersonvneto

gersonvneto's Stars

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook23.1k939274.1k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.9k2452.5k3.3k

• nayafia/lemonade-stand

  A handy guide to financial support for open source

  7.4k21336347

• ecthros/uncaptcha2

  defeating the latest version of ReCaptcha with 91% accuracy

  Language:Python5k12612463

• quantopian/qgrid

  An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

  Language:Python3k88288422

• BlackArbsCEO/Adv_Fin_ML_Exercises

  Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

  Language:Jupyter Notebook1.7k15634632

• hadley/mastering-shiny

  Mastering Shiny: a book

  Language:R1.3k27236566

• datitran/jupyter2slides

  Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js

  Language:HTML7945315176

• tidyverse/dtplyr

  Data table backend for dplyr

  Language:R6703131157

• JohnCoene/echarts4r

  🐳 ECharts 5 for R

  Language:JavaScript6011756581

• DiskFrame/disk.frame

  Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data

  Language:R5952022940

• luukvdmeer/sfnetworks

  Tidy Geospatial Networks in R

  Language:R3481517920

• bnosac/cronR

  A simple R package for managing your cron jobs.

  Language:R29095638

• mlss-2019/tutorials

  Language:Jupyter Notebook274195113

• ThinkR-open/companies-using-r

  A Curated list of R uses in entreprise

  26014230

• AppliedDataSciencePartners/xgboostExplainer

  An R package that makes xgboost models fully interpretable

  Language:R252223068

• fresh2dev/ShinyStudio

  A fully Dockerized, self-hosted development environment for teams. Develop where you serve.

  Language:Shell242162440

• FrissAnalytics/shinyJsTutorials

  tutorials materials on R/Shiny bindings to popular javascript libraries

  Language:HTML1903115130

• merlinoa/shinyFeedback

  display user feedback next to Shiny inputs

  Language:R19074912

• ThinkR-open/dockerfiler

  Easy Dockerfile Creation from R

  Language:R17764527

• nteetor/yonder

  A reactive web framework built on shiny

  Language:R1331216915

• rstudio/bigdataclass

  Two-day workshop that covers how to use R to interact databases and Spark

  Language:R11415455

• strboul/supreme

  Generate UML diagrams of Shiny modules

  Language:R60485

• dfalbel/torch

  torch from R!

  Language:C++517225

• jkaupp/nord

  ArcticIce Studios nord, and northern inspired palettes from the Group of Seven.

  Language:R51614

• saulocatharino/filtros_importantes

  Language:Python26406

• rstudio/master-the-tidyverse-solutions

  Solutions for exercises in Master the Tidyverse

  166113

• lynuhs/r

  Language:R11101

• etiennebr/sparksf

  Enable spatial functions in Spark through the `sparklyr` package

  Language:R8311

• neylsoncrepalde/ML_classes

  Machine Learning Classes

  Language:Jupyter Notebook6304