XIAO LIN's repositories
DualAttackRW
Source codes of "Dual-Space Attacks against Random-Walk-based Anomaly Detection"
annotated-transformer
An annotated implementation of the Transformer paper.
CENET
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
DiffKG
[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
eventgen
Splunk Event Generator: Eventgen
exllama
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
grok-1
Grok open release
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing
KG-MM-Survey
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
kite
Kite SDK
leetcode
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
llama.cpp
LLM inference in C/C++
LLM-Agent-Paper-List
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
llm.c
LLM training in simple, raw C/CUDA
LLM4Rec-Awesome-Papers
A list of awesome papers and resources of recommender system on large language model (LLM).
MBHT-KDD22
[KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation
oreilly_live_training_llm_apps
Notebooks for the live trainining about llm app development
PreRec
Repo for Pre-trained Recommender Systems: A Causal Perspective in RecSys Workshop: CONSEQUENCES '23 Causality, Counterfactuals & Sequential Decision-Making
Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
Large pre-trained Foundation recommender models
survey-llm
A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code
threathunting-spl
Splunk code (SPL) for serious threat hunters and detection engineers.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.