[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

A high-throughput and memory-efficient inference and serving engine for LLMs

Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.

[NeurIPS 2024] The implementation of paper "On Softmax Direct Preference Optimization for Recommendation"

An other implementation of GRU4REC using PyTorch

Official implementation of the GRU4Rec algorithm in PyTorch

[NeurIPS 2024] Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks

Benckmark datasets, SOTA models and unified CLI for Item Recommendation

Autoregressive Entity Retrieval

QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.

Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.

Reference implementation for DPO (Direct Preference Optimization)

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

[WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"

The official Meta Llama 3 GitHub site

Instruct-tune LLaMA on consumer hardware

Official code of "PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering" (2023 CIKM)

Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.

[WWW2024] The official code for paper "Distributionally Robust Graph-based Recommendation System"

[CIKM'23] "Toward a Better Understanding of Loss Functions for Collaborative Filtering"