Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

An implementation of a deep learning recommendation model (DLRM)

A framework for large scale recommendation algorithms.

An easy-to-use framework for large scale recommendation algorithms.

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

A memory efficient DLRM training solution using ColossalAI

Three examples of recommendation system pipelines with NVIDIA Merlin and Redis

Set of datasets for the deep learning recommendation model (DLRM).

Distributed training of DNNs • C++/MPI Proxies (GPT-2, GPT-3, CosmoFlow, DLRM)

No description available

Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies) with DLRM (Deep Learning Recommendation Model)

AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)

Enabling pure data parallel training of DLRM via caching and prefetching

TF2 implementation of DLRM (inherited and modified from openrec's initial implementation)

Sharing the codebase and steps for artifact evaluation for ISCA 2023 paper

ML performance model for GPU training of DLRM and more.

Sharing the codebase and steps for artifact evaluation/reproduction for MICRO 2024 paper

No description available

Implementation of recommender ( Pytorch & Keras )

No description available

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various recommend system using xlearn, dlrm using openrec, deepfm and xdeepfm using deepCTR

A DLRM training system that achieves efficient fault tolerance by coupling erasure coding with the unique characteristics of DLRM training.

Simple Implementation of DLRM (Deep Learning Recommendation Model)

reimplementation of fb DLRM for federated learning

Deep Learning Recommendation Model from facebook research

No description available

DLRM with Lossy Compression

The Disneyland Resort BGM Loops Database

No description available