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A framework for large scale recommendation algorithms.
A curated list of data mining papers about fraud detection.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
🏂🏻 程序员海外工作/英文面试手册
在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowledge”。 已实践的算法包括行为数据，内容描述，社交信息，知识图谱等。在OneRec，每种信息和整体算法的集成是可插拔…
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
专注于分享Python在金融领域的应用，欢迎关注微信公众号: Python金融量化 （id：tkfy920）
BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）
《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。
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。
A Collection of Variational Autoencoders (VAE) in PyTorch.
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive in to find the datasets, code samples, and more!
Popular real-world datasets for anomaly detection on tabular data, graph data, image data, time series data, and video data
The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).
Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
🩹Editing large language models within 10 seconds⚡
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Must-read Papers on Knowledge Editing for Large Language Models.
Evaluating the Ripple Effects of Knowledge Editing in Language Models
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！Unlocking the power of LLMs.
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"