Pinned Repositories
2018_WIMS_code
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
CBC
iea2017
NMF
recoxplainer
rrecsys
rrecsys: Environment for Assessing Recommender Systems
ludovikcoba's Repositories
ludovikcoba/recoxplainer
ludovikcoba/rrecsys
rrecsys: Environment for Assessing Recommender Systems
ludovikcoba/iea2017
ludovikcoba/NMF
ludovikcoba/2018_WIMS_code
ludovikcoba/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
ludovikcoba/CBC
ludovikcoba/coding_problems
ludovikcoba/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
ludovikcoba/expl_MF
ludovikcoba/IJAIT
ludovikcoba/moviegeek
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
ludovikcoba/nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
ludovikcoba/pyreclab
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, GRIMA Lab and SocVis Lab.
ludovikcoba/rankBasedConjoint
ludovikcoba/reco-gym
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
ludovikcoba/recoxplainer.github.io
ludovikcoba/rrecsys-site
ludovikcoba/word2vec