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AI-Powered Data Processing: Use LOTUS to process all of your datasets with LLMs and embeddings. Enjoy up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code
Released code for [sigmod'21] A learned Sketch for Subgraph Counting
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
Open-source search and retrieval database for AI applications.
A collection of AWESOME things about Graph-Related LLMs.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Source code of "RapidFlow: An Efficient Approach to Continuous Subgraph Matching" published in VLDB'2022 - By Shixuan Sun, Xibo Sun, Bingsheng He and Qiong Luo
Source code and datasets of "An In-Depth Study of Continuous Subgraph Matching", accepted by VLDB'22 - By Xibo Sun, Dr. Shixuan Sun, Prof. Qiong Luo, and Prof. Bingsheng He
"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Python面试通关宝典，秋招、春招的小伙伴✿✿ヽ(°▽°)ノ✿），有面Python开发方向的，看这一个repo就够啦😘
一款基于 TS + React + AntD + Koa + MongoDB 实现的 TodoList 全栈应用
One-class recommendation algorithm from implicit feedback
一个基于vue的pc端综合性网上购物商城，包括前台商城和后台管理系统，后端采用koa2，数据库采用mysql。