微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

OpenCE (Open Context Engineering): A community toolkit to implement, evaluate, and combine LLM context strategies (RAG, ACE, Compression). Evolved from the `ACE-open` reproduction.

Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…

Code for InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation

中文版 llm-numbers

Official Repo for InSTA: Towards Internet-Scale Training For Agents

FlashMLA: Efficient Multi-head Latent Attention Kernels

Code for "Sample-efficient Deep Reinforcement Learning of Mobile Manipulation for 6-DOF Trajectory Following"

From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓

What would you do with 1000 H100s...

Diffusion Models, Recommender Systems, Recommendation, Diff4Rec

Shortest solutions for CS231n 2021-2025

Official Code for paper "FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction" (RecSys 2024)

A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.

some useful papers and blogs for people who are interested in online advertising

Official Code for paper "Towards Efficient and Effective Unlearning of Large Language Models for Recommendation" (Frontiers of Computer Science 2024)

[RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".

Implementation of the paper "ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation"

Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"

A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks

Vector (and Scalar) Quantization, in Pytorch

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

Official Code for paper "MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction"