HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation

The unofficial implementation of Kuaishou's OneRec

The implementation for the work "Recommender Systems with Generative Retrieval".

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

Implementation of the Transformer Index for GEnerative Recommenders model

[Pytorch] Unofficial Implementation of "Recommender Systems with Generative Retrieval"

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

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

Large Language Model-enhanced Recommender System Papers

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

https://www.daiwk.net/

Best practice for training LLaMA models in Megatron-LM

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Desktop application of new Bing's AI-powered chat (Windows, macOS and Linux)

Let us control diffusion models!

stable diffusion webui colab

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Using Low-rank adaptation to quickly fine-tune diffusion models.

Simple, safe way to store and distribute tensors

Stable Diffusion web UI

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Privacy Preserving Vertical Federated Learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

resources about federated learning and privacy in machine learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习