torchrec
LargeBatchCTR
| torchrec | LargeBatchCTR | |
|---|---|---|
| 1 | 1 | |
| 1,733 | 155 | |
| 1.6% | 2.6% | |
| 9.8 | 1.8 | |
| 7 days ago | over 1 year 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
-
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
LargeBatchCTR
-
A New AI Research Proposes an Effective Optimization Method of Adaptive Column-Wise Clipping (CowClip) that Reduces CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
Quick Read: https://www.marktechpost.com/2023/02/11/a-new-ai-research-proposes-an-effective-optimization-method-of-adaptive-column-wise-clipping-cowclip-that-reduces-ctr-prediction-model-training-time-from-12-hours-to-10-minutes-on-1-gpu/ Paper: https://arxiv.org/pdf/2204.06240.pdf Github: https://github.com/bytedance/largebatchctr
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.
NVTabular - NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
federeco - implementation of federated neural collaborative filtering algorithm
recommenders - Best Practices on Recommendation Systems
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
pyaes - Pure-Python implementation of AES block-cipher and common modes of operation.
openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
LLMRec - [WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
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.
RecBole - A unified, comprehensive and efficient recommendation library