cjj3770 Goto Github PK

8-puzzle-solver

Implemented BFS, DFS, A* and IDA* to solve the n-puzzle problem

artificial-intelligence-play-gomuku

Artificial Intelligence with Gomuku

best-first-search-a-star---8-puzzle

blockchain-based-trusted-supply-chain-system

COMP6200 MSc Project

blockchain-real-estate

🚀基于区块链的房地产交易系统小模型。提供销售和捐赠功能。本项目使用Hyperledger Fabric构建区块链网络, go编写智能合约，应用层使用gin+fabric-sdk-go调用合约。前端展示使用vue+element。前后端分离。

citizens

使用fabric-go-sdk 调用fabric 1.1 demo

clustering

分别用K均值K_means和模糊C均值FCM算法对Iris鸢尾花数据集聚类以及图像聚类分割

crack_segmentation

CrackDetection for both pavement and concrete meterials

efficientunet-pytorch

A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder

efficientunetplusplus

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

exampleagent

ExampleAgent for Intelligent Systems Module in UoS COMP2208

flask-web-predictor

go-admin

基于Gin + Vue + Element UI的前后端分离权限管理系统脚手架（包含了：基础用户管理功能，jwt鉴权，代码生成器，RBAC资源控制，表单构建等）文档：http://doc.zhangwj.com/go-admin-site/ Demo： http://www.zhangwj.com/#/login

gomoku-ai-minimax

Artificial Intelligence for the game Go-Moku using the Minimax Algorithm with Alpha-Beta Pruning

intelligent-agent

jupyter-notebook

lac

百度NLP：分词，词性标注，命名实体识别，词重要性

mib

Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

mmdetection

OpenMMLab Detection Toolbox and Benchmark

msc-dissertation

node

node-1

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

node_for_dl_on_tabular_data

For COMP6248-Reproducability-Challenge

overfittingunderclassimbalance

[MICCAI2019 & TMI2020] Overfitting under classimbalance: anaylsis and improvements for medical image segmentation.

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

pavement-crack-detection

portfoliooptimization

Portfolio Optimization and efficient frontier using MATLAB. This project is a part of assignment for COMP6212 Computational Finance course, 2nd semester, MSc AI, University of Southampton.

pyqt5-ai

pytorch-enet

PyTorch implementation of ENet

pytorch-nested-unet

PyTorch implementation of UNet++ (Nested U-Net).