Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Qdrant | 15,789 | 3 months ago | 212 | apache-2.0 | Rust | |||||
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ | ||||||||||
Hora | 2,469 | 7 months ago | 2 | August 07, 2021 | 23 | apache-2.0 | Rust | |||
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 . | ||||||||||
Deep Learning For Recommendation Systems | 2,141 | 4 years ago | ||||||||
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems | ||||||||||
Machine Learning Specialization Coursera | 2,082 | 4 months ago | 16 | mit | Jupyter Notebook | |||||
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG | ||||||||||
Reclearn | 1,406 | 2 years ago | 5 | mit | Python | |||||
Recommender Learning with Tensorflow2.x | ||||||||||
Lectures Labs | 1,309 | a year ago | 2 | mit | Jupyter Notebook | |||||
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris | ||||||||||
Deeprec | 1,068 | 2 years ago | 8 | gpl-3.0 | Python | |||||
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow. | ||||||||||
Recsys2019_deeplearning_evaluation | 871 | 2 years ago | 1 | agpl-3.0 | Python | |||||
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies. | ||||||||||
Neurec | 861 | 2 years ago | 1 | November 04, 2019 | 15 | Python | ||||
Next RecSys Library | ||||||||||
Tutorials | 847 | a year ago | 3 | other | Jupyter Notebook | |||||
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial |