ranking
rexmex
| ranking | rexmex | |
|---|---|---|
| 1 | 1 | |
| 2,714 | 276 | |
| 0.1% | 0.0% | |
| 6.3 | 5.5 | |
| about 2 months ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | - |
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.
ranking
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[D] learning to Rank
There are many different models and loss functions used for ranking (Tensorflow Ranking offers a bunch, probably also available for Jax / Pytorch / etc., or easily convertible).
rexmex
What are some alternatives?
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
torchsort - Fast, differentiable sorting and ranking in PyTorch
CSrankings - A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
RecBole - A unified, comprehensive and efficient recommendation library
BERT-QE - Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".
evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
recommenders - Best Practices on Recommendation Systems
semantic-kitti-api - SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
spotlight - Deep recommender models using PyTorch.
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools