LargeBatchCTR
torchrec
| LargeBatchCTR | torchrec | |
|---|---|---|
| 1 | 1 | |
| 155 | 1,733 | |
| 2.6% | 1.5% | |
| 1.8 | 9.8 | |
| over 1 year ago | about 8 hours ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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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.
LargeBatchCTR
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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
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
What are some alternatives?
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.
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.
recommenders - Best Practices on Recommendation Systems
federeco - implementation of federated neural collaborative filtering algorithm
pyaes - Pure-Python implementation of AES block-cipher and common modes of operation.
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms