LLMRec
torchrec
LLMRec | torchrec | |
---|---|---|
1 | 1 | |
258 | 1,737 | |
- | 1.8% | |
8.8 | 9.8 | |
12 days ago | 2 days ago | |
Python | Python | |
- | BSD 3-clause "New" or "Revised" License |
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LLMRec
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?
recommenders - Best Practices on Recommendation 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.
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
federeco - implementation of federated neural collaborative filtering algorithm
graph-progression - Create a progression of recommendations from a user-supplied recommender
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
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.
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
LargeBatchCTR - Large batch training of CTR models based on DeepCTR with CowClip.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.