Python Deep Learning, Third Edition, published by Packt

A PyTorch-based Speech Toolkit

A curated list of Generative Recommender Systems (Paper & Code)

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

An Open-Source Library for Multi-Criteria Recommendations

A Deep Learning Based Context-Aware Recommendation Library

Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Deep learning-based outlier/anomaly detection

A list of data sets for research on recommender systems

Multi-Objective Portfolio Optimization Library for Sustainable Investments

Making large AI models cheaper, faster and more accessible

Java-Based Context-aware Recommendation Library

A framework for large scale recommendation algorithms.

Google core libraries for Java

PuTTY Color Themes

TensorClus, Tensor co-clustering, text mining, clustering, multiple graphs

Official electron build of draw.io

A collection of implementations of deep domain adaptation algorithms

Deep Co-Clustering (SDM'19)

An unofficial package of generic Realtek Universal Audio Driver made from parts of various OEM specific Reatek Universal Audio drivers intended to work on legacy systems lacking OEM UAD support.

Tutorial on Multi-Objective Recommender Systems @ KDD 2021

This is our implementation for the paper: Pan Li, and Alexander Tuzhilin. "Latent multi-criteria ratings for recommendations." Proceedings of the 13th ACM Conference on Recommender Systems. 2019.

📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem

Source code for Multiple Criteria Decision Aid by Jason Papathanasiou, Nikolaos Ploskas

A conda-forge distribution.