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Danny Wei's Projects

amlsim icon amlsim

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is cr

chatgpt-on-wechat icon chatgpt-on-wechat

基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择GPT3.5/GPT-4o/GPT4.0/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。

cityflow-zyr17 icon cityflow-zyr17

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

graphneuralnetwork icon graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

itransformer icon itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

langchain-chatchat icon langchain-chatchat

Langchain-Chatchat(原Langchain-ChatGLM, Qwen 与 Llama 等)基于 Langchain 与 ChatGLM 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

light_mappo icon light_mappo

Lightweight version of MAPPO to help you quickly migrate to your local environment.

pdformer icon pdformer

[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

pygat icon pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-gat icon pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

stf icon stf

use stfgnn to predict traffic flow of the network which is controled by RL

sumo_rl icon sumo_rl

Building a trafficlight controling model using DQN.

tianji icon tianji

天机是一款专注人情世故的大语言模型系统。由 SocialAI(来事儿AI)社区小伙伴制作,免费使用、非商业用途。您可以利用它进行涉及传统人情世故的任务,如何说好话、如何会来事儿等,以提升您的“情商”和"核心竞争能力"

unilight icon unilight

Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method

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