thanosgatos

thanosgatos's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  307k8.8k47377k

• MunGell/awesome-for-beginners

  A list of awesome beginners-friendly projects.

  69.4k1.3k1677k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python66.1k3.3k8914.7k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.8k1.4k2457.9k

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.3k9095.3k8.7k

• academic/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  25.2k1.4k575.9k

• ujjwalkarn/Machine-Learning-Tutorials

  machine learning and deep learning tutorials, articles and other resources

  15.6k799123.8k

• vitalysim/Awesome-Hacking-Resources

  A collection of hacking / penetration testing resources to make you better!

  15.4k695272.1k

• freeCodeCamp/how-to-contribute-to-open-source

  A guide to contributing to open source

  Language:Ruby8.8k2172381.8k

• rushter/data-science-blogs

  A curated list of data science blogs

  Language:Python6.3k46381.8k

• ujjwalkarn/DataSciencePython

  common data analysis and machine learning tasks using python

  Language:Python5.3k34841.5k

• swirldev/swirl_courses

  :mortar_board: A collection of interactive courses for the swirl R package.

  Language:R4.3k5622977.2k

• jeroenjanssens/data-science-at-the-command-line

  Data Science at the Command Line

  Language:HTML3.8k21193764

• johnmyleswhite/ML_for_Hackers

  Code accompanying the book "Machine Learning for Hackers"

  Language:R3.7k474292.2k

• wzchen/probability_cheatsheet

  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

  Language:TeX3k1388695

• nborwankar/LearnDataScience

  Open Content for self-directed learning in data science

  Language:Jupyter Notebook3k36911.7k

• ujjwalkarn/DataScienceR

  a curated list of R tutorials for Data Science, NLP and Machine Learning

  Language:R2k2351889

• pluskid/Mocha.jl

  Deep Learning framework for Julia

  Language:Julia1.3k113154254

• csgillespie/efficientR

  Efficient R programming: a book

  Language:TeX72148107375

• rstudio/DT

  R Interface to the jQuery Plug-in DataTables

  Language:JavaScript60077940180

• tqchen/xgboost

  https://github.com/dmlc/xgboost

  Language:C++571510261

• tidyverse/forcats

  🐈🐈🐈🐈: tools for working with categorical variables (factors)

  Language:R55422234126

• cstjean/ScikitLearn.jl

  Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

  Language:Julia545239576

• drivendataorg/concept-to-clinic

  ALCF Concept to Clinic Challenge

  Language:Python36755163147

• talgalili/installr

  Functions for installing softwares from within R

  Language:R2721914276

• jumpingrivers/meetingsR

  A list of R conferences and user groups

  Language:R102177151

• papamarkou/StatsLearningByExample.jl

  Learn Julia via Examples

  Language:Jupyter Notebook8714032

• ianmcook/implyr

  SQL backend to dplyr for Impala

  Language:R8175615

• josephmisiti/ML_for_Hackers

  Code accompanying the book "Machine Learning for Hackers"

  Language:R7310061

• richelbilderbeek/R-CodingStandard

  Coding standard for R

  Language:Shell51