ludovikcoba

ludovikcoba's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python283k6.6k31447.4k

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k1.1k56212.9k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.8k407782.3k

• iperov/DeepFaceLab

  DeepFaceLab is the leading software for creating deepfakes.

  Language:Python16.7k51.3k101

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.7k555994.8k

• alirezadir/Production-Level-Deep-Learning

  A guideline for building practical production-level deep learning systems to be deployed in real world applications.

  4.4k1663650

• jphall663/awesome-machine-learning-interpretability

  A curated list of awesome responsible machine learning resources.

  3.7k13469590

• r-lib/devtools

  Tools to make an R developer's life easier

  Language:R2.4k1201.8k755

• Tarikul711/flutter-food-delivery-app-ui

  The food ordering & delivery application designed based on the real-life scenario. Anyone can use this code on their own purpose. If you are interested please make your contribution to the code.

  Language:Dart1.1k757539

• lenskit/lenskit

  LensKit recommender toolkit.

  Language:Java97397692326

• practical-recommender-systems/moviegeek

  A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

  Language:Python9135350362

• dselivanov/text2vec

  Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

  Language:R85354307134

• tidyverse/glue

  Glue strings to data in R. Small, fast, dependency free interpreted string literals.

  Language:R7272223464

• r-lib/pkgdown

  Generate static html documentation for an R package

  Language:R724171.7k337

• rstudio/learnr

  Interactive Tutorials with R Markdown

  Language:R71333435239

• criteo-research/reco-gym

  Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

  Language:Jupyter Notebook471261199

• derekmolloy/exploringBB

  Source code for the book Exploring BeagleBone, by Derek Molloy (see www.exploringbeaglebone.com)

  Language:C++4688615444

• mquad/sars_tutorial

  Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

  Language:Python34323999

• sharanya02/Text-file-to-handwritten-pdf-file

  Converts a text file to a handwritten pdf file.

  Language:Python3062210113

• scnu-dil/awesome-RecSys

  Must-read papers on recommendation systems (RecSys)

  Language:TeX27615146

• RankSys/RankSys

  Java 8 Recommender Systems framework for novelty, diversity and much more

  Language:Java275313957

• recommenders/rival

  RiVal recommender system evaluation toolkit

  Language:Java1511611740

• dpapathanasiou/buckabuckaboo

  An unobtrusive, cross-browser javascript plugin for tracking mouse movement on web pages

  Language:JavaScript50809

• nanxstats/deep-learning-recipes

  🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)

  Language:R465110

• sidooms/Recsys-frontend

  An easy to set up recommender systems frontend for research, fun and science

  Language:PHP306213

• ludovikcoba/recoxplainer

  Language:Python26313

• RSGInc/RSGHB_Examples

  Example Models for Use with the RSGHB R Package

  Language:R105310

• LinusDietz/tripmining

  A Python Module for Mining Trips from Check-in Based Data

  Language:Python7301

• endlessinertia/MetaBandits4Rec

  Language:Python1200