|about 2 months ago||about 1 year ago|
|Apache License 2.0||GNU General Public License v3.0 or later|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Is doing knn on the output of a music artist classifier a good way to build a system that suggests new music?
1 project | reddit.com/r/learnmachinelearning | 9 Mar 2022
Approximate Nearest Neighbors is what Spotify uses for music recommendations: https://github.com/spotify/annoy
Anatomy of a txtai index
4 projects | dev.to | 2 Mar 2022
embeddings - The embeddings index file. This is an Approximate Nearest Neighbor (ANN) index with either Faiss (default), Hnswlib or Annoy, depending on the settings.
Should we begin Linear Algebra with Matrices, or start with Vector Spaces?
1 project | reddit.com/r/math | 18 Jan 2022
Take for example Spotifies implementation of ANN https://github.com/spotify/annoy.
Faiss: Facebook's open source vector search library
8 projects | news.ycombinator.com | 14 Dec 2021
I built an Image Search Engine using OpenAI CLIP and Images from Wikimedia
3 projects | reddit.com/r/learnmachinelearning | 30 Nov 2021
I used for this project Flask and OpenAI CLIP. For the vector search I used approximate nearest neighbors provided by spotify/annoy. I used Flask-SQLAlchemy with GeoAlchemy2 to query GPS coordinates. The embedding was done using UMAP.
Facebook AI Similarity Search (Faiss)
3 projects | news.ycombinator.com | 20 Nov 2021
I’ve used annoy  for vector-similarity search before. Does anyone know the differences between Faiss and annoy? Thanks!
txtai - Semantic search backed by machine-learning powered workflows
8 projects | reddit.com/r/opensource | 3 Sep 2021
🔎 Large-scale similarity search with multiple index backends (Faiss, Annoy, Hnswlib)
NLP Method(s) for Finding Commonalities?
2 projects | reddit.com/r/LanguageTechnology | 13 Aug 2021
Create a ANN search index using Annoy or FAISS
Announcing Hora 0.1.0, an approximate nearest neighbor search algorithm library in rust
4 projects | reddit.com/r/rust | 30 Jul 2021
How does this compare to something like annoy, it's used and written by Spotify.
[D] can you use a decision tree for clustering?
1 project | reddit.com/r/statistics | 28 Jun 2021
We haven't tracked posts mentioning libffm yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
faiss - A library for efficient similarity search and clustering of dense vectors.
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
fastFM - fastFM: A Library for Factorization Machines
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
spotlight - Deep recommender models using PyTorch.
hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
milvus - An open-source vector database for scalable similarity search and AI applications.