rexmex
recommenders
| rexmex | recommenders | |
|---|---|---|
| 1 | 1 | |
| 276 | 1,757 | |
| 0.0% | 1.0% | |
| 5.5 | 4.7 | |
| 9 months ago | 8 days 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.
rexmex
recommenders
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How to implement MultipleNegativesRankingLoss in TF?
I have found a similar approach here https://github.com/tensorflow/recommenders/blob/main/tensorflow_recommenders/tasks/retrieval.py
What are some alternatives?
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
Surprise - A Python scikit for building and analyzing recommender systems
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.
riscv-newop - A RISC-V new instruction discovery tool [Work in Progress]
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
ranking - Learning to Rank in TensorFlow
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
RecBole - A unified, comprehensive and efficient recommendation library
semantic-kitti-api - SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
recommenders - Best Practices on Recommendation Systems