Showing 121-140 of 158 projects
A collection of recommended computer science books curated by AzatAI, focused on educational resources.
A recommended C code style and coding rules repository for standard C99 or later development.
A collection of Windows 11 security hardening and configuration recommendations.
A mirror of a privacy-focused software recommendations repository focused on security and privacy.
A Kubernetes security platform that provides risk analysis, visibility, alerts, and security hardening recommendations.
A personal blog project using the popular SSM architecture with various features like auth, comments, and recommendations.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation using PyTorch.
This is a collection of recommendations for paid VPN services, including Clash, Hysteria, Shadowrocket, and Shadowsocks.
A Python project template for developers, including a Makefile and GitHub Actions.
A Yeoman generator to bootstrap React Native apps with a set of recommended tools and configurations.
The Alibaba Cloud Go SDK for interacting with Alibaba Cloud services and APIs.
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms.
DeepRec is a high-performance deep learning recommendation framework based on TensorFlow, hosted in the LF AI & Data Foundation.
A repository of public data sources for building and testing recommender systems.
An open-source toolkit for deep learning-based recommendation with TensorFlow.
A self-hosted media stack with AI-powered movie/show recommendations and a range of media management tools.
A knowledge graph attention network for building explainable recommendation systems.
A Python library for building recommender systems using deep learning techniques.
NVTabular is a feature engineering and preprocessing library for tabular data used in recommender systems.
A high-quality dataset repository for building recommender systems, useful for vibe coders working on AI-powered applications.
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