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We haven't tracked posts mentioning libffm yet.
Tracking mentions began in Dec 2020.
Create a Wine Recommender using NLP on AWS
2 projects | reddit.com/r/aws | 17 Jul 2022
It'd definitely be a nice-to-have. Luckily it shouldn't be to hard to create a custom estimator using something like Spotify's Annoy library. I might try it out whenever I come back and revisit the project.
Can anyone help me refine my model (music based CNN - artist recognition)?
1 project | reddit.com/r/learnmachinelearning | 9 Jun 2022
Add your examples to the index and build the trees in annoy. I feel like its straight forward. There you have to provide the dimension of the features which is the feature vector you get. In my case I am reusing (without fine-tuning) the effecientNetB3 without the last layer. Hence it results in feature vectors with 1536 dimensions. https://github.com/spotify/annoy
Spotify's annoy library vs Siamese Neural Networks for measuring similarity among songs and their artists?
1 project | reddit.com/r/learnmachinelearning | 5 Jun 2022
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)
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.
milvus - Vector database for scalable similarity search and AI applications.
hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .