puhazoli

puhazoli's Stars

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k949243.7k

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k440121.8k

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.4k385151.3k

• googlecreativelab/quickdraw-dataset

  Documentation on how to access and use the Quick, Draw! Dataset.

  6.1k20456938

• bbatsov/prelude

  Prelude is an enhanced Emacs 25.1+ distribution that should make your experience with Emacs both more pleasant and more powerful.

  Language:Emacs Lisp5.1k1749131.9k

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k13853867

• fastai/nbdev

  Create delightful software with Jupyter Notebooks

  Language:Jupyter Notebook4.9k46886487

• christophM/interpretable-ml-book

  Book about interpretable machine learning

  Language:Jupyter Notebook4.8k1382051.1k

• sshkhr/awesome-mlss

  🤖 Machine Learning Summer School deadlines

  Language:JavaScript2.6k27232295

• benedekrozemberczki/awesome-decision-tree-papers

  A collection of research papers on decision, classification and regression trees with implementations.

  Language:Python2.4k1300334

• modAL-python/modAL

  A modular active learning framework for Python

  Language:Python2.2k44147324

• seagle0128/.emacs.d

  Centaur Emacs - A Fancy and Fast Emacs Configuration

  Language:Emacs Lisp2k60372270

• vahidk/EffectivePyTorch

  PyTorch tutorials and best practices.

  1.6k491165

• TezRomacH/python-package-template

  🚀 Your next Python package needs a bleeding-edge project structure.

  Language:Python1.1k826125

• grf-labs/grf

  Generalized Random Forests

  Language:C++96446500250

• MilesMcBain/datapasta

  On top of spaghetti, all covered in cheese....

  Language:R894269660

• guildai/guildai

  Experiment tracking, ML developer tools

  Language:Python8691443985

• baal-org/baal

  Bayesian active learning library for research and industrial usecases.

  Language:Python8631811486

• r-causal/ggdag

  :arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)

  Language:R4351011630

• hughjonesd/huxtable

  An R package to create styled tables in multiple output formats, with a friendly, modern interface.

  Language:HTML3211323828

• bookingcom/upliftml

  UpliftML: A Python Package for Scalable Uplift Modeling

  Language:Python31614728

• JoGall/soccermatics

  Tools for visualisation and analysis of soccer tracking and event data

  Language:R309302636

• maxmind/geoip-api-python

  DEPRECATED GeoIP Legacy Python API

  Language:C232321960

• wlandau/learndrake

  An interactive free online short course on the drake R package

  Language:HTML14663018

• JingyuHe/XBART

  Language:C++87131225

• Nth-iteration-labs/contextual

  Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

  Language:R7872426

• georgeberry/causal-inference-intro

  A short introduction to causal inference

  Language:TeX28101

• STIMALiU/BayesLearnCourse

  Course material for Bayesian Learning (Master and PhD level) at Linköping university

  Language:PostScript205721

• OATML/causal-bald

  Language:Python15002

• rachelnethery/overlap

  Language:R3200