Explore Projects
Discover 45 open source projects
Showing 1-20 of 45 projects
qdrant/qdrant
Vector database for AI applications
d2l-ai/d2l-en
Interactive deep learning book with code and math
weaviate/weaviate
Weaviate is an open-source vector database that combines vector search with structured filtering and scalability.
NVIDIA/DeepLearningExamples
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
gorse-io/gorse
An open-source recommender system engine that supports multimodal content via embedding for AI-focused developers.
lancedb/lancedb
Open-source embedded retrieval library for building multimodal AI search and recommendation systems.
datawhalechina/fun-rec
An educational tutorial on recommendation systems built with Python, including algorithms and use cases.
hongleizhang/RSPapers
A curated list of must-read papers on recommender systems, covering collaborative filtering, deep learning, and more.
wzhe06/Ad-papers
Collection of research papers on computational advertising techniques like CTR prediction and recommender systems.
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library for building recommendation systems.
unum-cloud/USearch
Open-source C++ library for fast, approximate nearest-neighbor search and clustering of vectors and objects
cbamls/AI_Tutorial
A curated collection of AI and machine learning learning resources and tutorials for vibe coders
alibaba/Alink
Alink is a machine learning algorithm platform built on Apache Flink, developed by Alibaba's PAI team.
PaddlePaddle/awesome-DeepLearning
A comprehensive collection of deep learning resources including courses, case studies, and interview questions.
wzhe06/Reco-papers
A collection of classic papers and resources on recommendation systems and machine learning
catalyst-team/catalyst
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data, useful for vibe coders working on AI-powered applications.
eugeneyan/ml-surveys
A curated collection of survey papers summarizing advances in deep learning, NLP, CV, and other ML domains.
robi56/Deep-Learning-for-Recommendation-Systems
This repository contains deep learning-based articles, papers, and repositories for recommendation systems.
tensorflow/ranking
A TensorFlow library for learning to rank and build recommender systems using machine learning.
Stay in the loop
Get weekly updates on trending AI coding tools and projects.