![:octocat: :octocat:](https://github.githubassets.com/images/icons/emoji/octocat.png)
Block or Report
Block or report ansegura7
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (1)
Sort Name ascending (A-Z)
Stars
Language
Sort by: Recently starred
Complexly represent contents, build recommender systems, evaluate them. All in one place!
Unannotated Spanish 3 Billion Words Corpora
Python implementations of the Boruta all-relevant feature selection method.
A playbook for systematically maximizing the performance of deep learning models.
A Configurable Recommender Systems Simulation Platform
This repository compiles prescriptive guidance and code samples for the operationalization of NVIDIA Merlin framework on Google Cloud Vertex AI.
The Ultimate FREE Machine Learning Study Plan
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Best Practices on Recommendation Systems
Spanish word embeddings computed with different methods and from different corpora
Chatbot of the Decide Madrid 2019 system (with and without arguments).
Course repository for the Spring 2022 COMP790 course "Deep Learning" at UNC
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 b…
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems…
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Learning Convolutional Neural Networks with Interactive Visualization.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Seriously Unnecessary Baffling Obscure Perplexing Terms In MAchine Learning
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation