libffm
A Library for Field-aware Factorization Machines (by ycjuan)
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk (by spotify)
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| libffm | annoy | |
|---|---|---|
| 0 | 18 | |
| 1,554 | 10,095 | |
| - | 1.1% | |
| 0.0 | 3.6 | |
| over 1 year ago | 7 days ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
libffm
Posts with mentions or reviews of libffm.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning libffm yet.
Tracking mentions began in Dec 2020.
annoy
Posts with mentions or reviews of annoy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-17.
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Create a Wine Recommender using NLP on AWS
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.
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Can anyone help me refine my model (music based CNN - artist recognition)?
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
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Spotify's annoy library vs Siamese Neural Networks for measuring similarity among songs and their artists?
Annoy: https://github.com/spotify/annoy
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Is doing knn on the output of a music artist classifier a good way to build a system that suggests new music?
Approximate Nearest Neighbors is what Spotify uses for music recommendations: https://github.com/spotify/annoy
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Anatomy of a txtai index
embeddings - The embeddings index file. This is an Approximate Nearest Neighbor (ANN) index with either Faiss (default), Hnswlib or Annoy, depending on the settings.
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Should we begin Linear Algebra with Matrices, or start with Vector Spaces?
Take for example Spotifies implementation of ANN https://github.com/spotify/annoy.
- Faiss: Facebook's open source vector search library
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I built an Image Search Engine using OpenAI CLIP and Images from Wikimedia
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.
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Facebook AI Similarity Search (Faiss)
I’ve used annoy [0] for vector-similarity search before. Does anyone know the differences between Faiss and annoy? Thanks!
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txtai - Semantic search backed by machine-learning powered workflows
🔎 Large-scale similarity search with multiple index backends (Faiss, Annoy, Hnswlib)
What are some alternatives?
When comparing libffm and annoy you can also consider the following projects:
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 🦀 .