Stars
将gpt_academic的arxiv论文翻译单独抽取出来，并集成BabelOCR，支持本地PDF翻译，翻译成功率提高到95%+
Automatically crawl arXiv papers daily and summarize them using AI. Illustrating them using GitHub Pages.
The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
[ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
Awesome Generative Recommendation papers primarily focused on industry-level applications.
An easy-to-use framework for large scale recommendation algorithms.
SASRec: Self-Attentive Sequential Recommendation
This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems
Code release for "Long-Sequence Recommendation Models Need Decoupled Embeddings" (ICLR 2025), https://arxiv.org/abs/2410.02604
LongCTR: A Long Sequence Modeling Benchmark for CTR Prediction
Transformer-based Realtime User Action Model for Recommendation at Pinterest
An unofficial implementation of "TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest" in Tensorflow
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.
An implementation of a deep learning recommendation model (DLRM)
Pytorch domain library for recommendation systems
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
[MM 2024] SimCEN: Simple Contrast-enhanced Network for CTR Prediction
论文XMind笔记生成工具，将论文pdf通过ChatGPT转换为带有图片和公式的简要XMind笔记，提高论文阅读效率。
ICML2025 | From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"