zrfan

M3oE

Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework

LLM4Rec-Awesome-Papers

A list of awesome papers and resources of recommender system on large language model (LLM).

Awesome-LLM4RS-Papers

Large Language Model-enhanced Recommender System Papers

Latte

Latte: Latent Diffusion Transformer for Video Generation.

Awesome-Sora-Prompts

收集全网优质的Sora Prompt(提示词) / Collect the best prompt of Sora

Awesome-Open-AI-Sora

Sora AI Awesome List – Your go-to resource hub for all things Sora AI, OpenAI's groundbreaking model for crafting realistic scenes from text. Explore a curated collection of articles, videos, podcasts, and news about Sora's capabilities, advancements, and more.

Slate_Aware_Ranking

The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23

FlameGraph

Stack trace visualizer

DFN

Deep Feedback Network for Recommendation

Sequential-Recommendation-Paperlist

The paper list under Sequential Recommendation task

MQSA-TED

This is our Tensorflow implementation for "Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation." (MQSA-TED) WSDM 2024.

cl4ctr

The code of CL4CTR

ECAPA-TDNN

Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

RecAlg

RecAlgorithm

主流推荐系统Rank算法的实现

numpy-ml

Implementations of machine learning concepts in modules with basic numpy

numpy-ml

Machine learning, in numpy

jarvis

Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, particularly CTR models for large-scale advertising and recommendation scenarios.

MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

pyMultiobjective

A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA III; OMOPSO; PAES; RVEA; SMPSO; SMS-EMOA; SPEA2; U-NSGA III

HSMEA

Hybrid Surrogate Assisted Many-objective Evolutionary Algorithm for Expensive Multi/Many Objective Optimization Problems

CELS

【PyTorch】Easy-to-use package of Cognitive Evolutionary Search (CELS) for Click-Through Rate Prediction

XCrossNet

roformer

Rotary Transformer

s4

Structured state space sequence models

CL4CVR

Contrastive Learning for Conversion Rate Prediction

Awesome-Sequence-Modeling-for-Recommendation

An Awesome Collection for Sequential Recommendation and Sequence Modeling in Recommend System

Neighbour_Enhanced_DNN

dropout-feature-ranking

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"