Explore Projects
Discover 158 open source projects
Showing 101-120 of 158 projects
CHIANGEL/Awesome-LLM-for-RecSys
A collection of resources on using large language models for recommender systems
superlinked/superlinked
Superlinked is a Python framework for building high-performance search & recommendation apps with structured and unstructured data.
karpathy/arxiv-sanity-lite
Provides a lightweight and efficient way to retrieve, store, and recommend arXiv papers using SVMs over tfidf feature vectors.
ocelma/python-recsys
A Python library for implementing a recommender system, useful for developers building recommendation engines.
SeldonIO/seldon-server
A machine learning platform and recommendation engine built on Kubernetes for deployment on cloud platforms.
antvis/AVA
A framework for automated visual analytics, enabling developers to build AI-powered data visualization tools.
jihoo-kim/awesome-RecSys
A curated list of awesome resources for building recommender systems, including papers, libraries, and more.
aliyun/aliyun-openapi-java-sdk
This is a Java SDK for interacting with the Alibaba Cloud API, which is no longer recommended for use.
weiweifan/Big-Data-Resources
A collection of big data resources for machine learning, recommendation systems, and data mining.
DWCTOD/CVPR2024-Papers-with-Code-Demo
A curation of the latest CVPR (Computer Vision and Pattern Recognition) papers, code, and demos for AI-powered developers.
dzyim/ilya-sutskever-recommended-reading
A curated list of research papers on deep learning recommended by Ilya Sutskever for developers.
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction in Python with PyTorch support.
daolf/Most-recommended-programming-books
A curated collection of the most recommended programming books of all time.
DeepGraphLearning/KnowledgeGraphEmbedding
A Python library for learning knowledge graph embeddings, useful for AI-powered discovery and recommendation systems.
davidcelis/recommendable
A recommendation engine for Ruby apps that uses Likes and Dislikes to provide personalized recommendations.
hurshd0/must-read-papers-for-ml
A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts
Azure/review-checklists
Azure Review Checklists helps ensure you are following Microsoft best practices and recommendations on Azure.
chengstone/movie_recommender
MovieLens based recommender system for developers interested in building recommendation engines.
jfkirk/tensorrec
A TensorFlow-based recommendation algorithm and framework for building recommendation systems in Python.
charlesXu86/Chatbot_CN
A chatbot framework for the finance and legal domains, with NLU, NLG, and knowledge graph capabilities.
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