📚 Freely available programming books

A collective list of free APIs

分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

A curated list of awesome Machine Learning frameworks, libraries and software.

结巴中文分词

PyTorch Tutorial for Deep Learning Researchers

Machine learning, in numpy

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

A Python scikit for building and analyzing recommender systems

A general-purpose encoder-decoder framework for Tensorflow

A Python implementation of LightFM, a hybrid recommendation algorithm.

An implementation of a deep learning recommendation model (DLRM)

A unified, comprehensive and efficient recommendation library

Fast Python Collaborative Filtering for Implicit Feedback Datasets

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Recommender Learning with Tensorflow2.x

Neural Collaborative Filtering

☕ A tool to generate requirements.txt for Python project, and more than that. (IT IS NOT A PACKAGE MANAGEMENT TOOL)

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

YACS -- Yet Another Configuration System

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Factorization Machine models in PyTorch

Simple reference implementation of GraphSAGE.