Stars
A Multi-Agent Approach Integrating Socratic Guidance for Automated Prompt Optimization
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
This repo is for our EMNLP2023 short paper (Findings): InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators.
《动手学大模型Dive into LLMs》系列编程实践教程
A unified, comprehensive and efficient recommendation library
[KDD 2025] Quadratic Neural Networks for Click-through Rate Prediction
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversion…
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
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、ESM…
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"
The official implementation of paper *Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations*
A framework for large scale recommendation algorithms.
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
【PyTorch】Easy-to-use package of Cognitive Evolutionary Search (CELS) for Click-Through Rate Prediction
Diffusion model derived evolutionary algorithm
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch Implementation for Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering, SIGIR2019