Stars
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
[Up-to-date] A curated list of resources on cold-start recommendations.
A framework for large scale recommendation algorithms.
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Paper List for Recommend-system PreTrained Models
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
Best Practices on Recommendation Systems
This repository collects debiasing methods for recommendation
Heavily inspired by https://github.com/mathiasbynens/dotfiles
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …
A list of totally open alternatives to ChatGPT
Source code for the X Recommendation Algorithm
Notes talking about the design and implementation of Apache Spark
The Go Cloud Development Kit (Go CDK): A library and tools for open cloud development in Go.
This repository contains implementations and illustrative code to accompany DeepMind publications
implementation for comparison of supervised Learning to Match methods for product search
Rich is a Python library for rich text and beautiful formatting in the terminal.
Natural Gradient Boosting for Probabilistic Prediction
Learning to See in the Dark. CVPR 2018