torchrec
NVTabular
torchrec | NVTabular | |
---|---|---|
1 | 1 | |
1,733 | 1,008 | |
1.6% | 0.5% | |
9.8 | 5.5 | |
4 days ago | 11 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | 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.
torchrec
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Pytorch Introduces ‘TorchRec’: A Python-based PyTorch Domain Library For Recommendation Systems (RecSys)
TorchRec is a new PyTorch domain library for Recommendation Systems. This library includes standard sparsity and parallelism primitives, allowing researchers to create and implement cutting-edge customization models. CONTINUE READING
NVTabular
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ETL Pipelines with Airflow: The Good, the Bad and the Ugly
If you have GPUs, NVTabular outperforms most of the frameworks out there: https://github.com/NVIDIA/NVTabular
What are some alternatives?
Federated-Recommendation-Neural-Collaborative-Filtering - Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
federeco - implementation of federated neural collaborative filtering algorithm
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
cuetils - CLI and library for diff, patch, and ETL operations on CUE, JSON, and Yaml
LLMRec - [WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
cascade - Lightweight and modular MLOps library targeted at small teams or individuals
NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters
daggy