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Behavioral "black-box" testing for recommender systems
A Comparative Framework for Multimodal Recommender Systems
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Implementation of Inferring Networks of Substitutable and Complementary Products Model paper
Este curso es una introducción simple pero completa al lenguaje de programación C.
A Universal Deep Reinforcement Learning Framework
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
👉 Visit the wiki: https://github.com/useflyyer/flyyer-wp/wiki | Generate social share images with web technologies
Python helpers to create https://flyyer.io URLs for link previews | Manage your og:images from a single dashboard
Ruby helpers to create https://cdn.flyyer.io URLs | Og:Image as a Service
SaaS to manage, optimize and generate your og:image og-image
SocialPreview.io flyyer smart image preview served from https://flyyer.io
Command-line interface to develop dynamic og:images via https://flyyer.io | Generate social share images with web technologies
Scaffold everything you need to create a https://flyyer.io template | Generate social media images and og:image
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
A TensorFlow Implementation of the Transformer: Attention Is All You Need
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Supervised Multimodal Bitransformers for Classifying Images and Text
Calculates various features from time series data. Python implementation of the R package tsfeatures.