Discover @Kali-Hac Open Source projects

@Kali-Hac

Kali-Hac

Stars
636
Global Rank 45,232 (Top 2 %)
Followers 35
Following 3
Registered about 7 years ago
Most used languages

Python
57.1 %

HTML
9.5 %

Java
9.5 %

Jupyter Notebook
9.5 %

PHP
4.8 %

CSS
4.8 %

C++
4.8 %
Location 🇸🇬 Singapore
Country Total Rank 330
Country Ranking

Python
94

HTML
201

PHP
228

Jupyter Notebook
255

CSS
577

Java
602

C++
863

TranSG

[CVPR-2023] Official Codes for "TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification"

Locality-Awareness-SGE

[TPAMI-2021] Official Codes for "A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification"

ChatGPT-MBTI

[EMNLP-2023] Official Codes for “Can ChatGPT Assess Human Personalities? A General Evaluation Framework”

SGE-LA

[IJCAI-2020] Official Codes for "Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification"

SM-SGE

[ACMMM-2021] Official Codes for "SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification"

SimMC

[IJCAI-2022] Official Codes for "SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification"

MG-SCR

[IJCAI-2021] Official Codes for "Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification"

Hi-MPC

[IJCV-2023] Official Codes for "Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification"

Gomoku-AI

尝试了博弈树Min-Max + alpha-Beta剪枝方法，并找到了更好的适用于五子棋智能的棋局评估模型和选择模型

Awesome-Skeleton-Based-Models

A systematic collection of various skeleton-based models (Datasets, Papers, Codes, Leaderboards).

Show-Attend-and-Tell-Neural-Image-Caption-Generation-with-Visual-Attention

Jupyter Notebook

FacePlay

[一图查堂](轻量级深度web人脸识别应用) 团队: mSrA

YifanHu_python

(Barnes_Hut算法)Quadtree和YifanHu layout的python实现

Adaboost_V

基于NPD特征+决策树(基分类器)的Adaboost图像识别算法的可调参可视化的模型训练&预测

SPC-MGR

Official Codes for "Skeleton Prototype Contrastive Learning with Multi-level Graph Relation Modeling for Unsupervised Person Re-Identification"

gephi_pngs_normalization

对Gephi动态网络图生成的统一规格化

php_spider

(SCUT)正方教务系统成绩爬取(学期/所有)，自动抢(选)课php脚本

AppV3.0_Hac

V3.0“摇一摇”自动定位+紧急短信收发+自定义加速度传感+备忘录自提醒+联系人群发设置+快速方便的增删改查+简约完善的主页UI

node_js_chat

基于Node.js框架和Express/socket.io的动态即时聊天系统

-C-python-node.js-

- 作者:Hac - C++、python和node.js代码的重构与实现 - 面向对象编程设计 - 虚拟内存存储器

ML_experiments

1.线性回归和线性分类SVM/2.逻辑回归和SVM(随机梯度下降 + RMSprop/Adam/NAG)/3.Adaboost人脸识别(基于决策树)

Jupyter Notebook

kali-hac.github.com

AppV2.0_Hac_AddOthers

“摇一摇”自动定位+紧急短信收发+自定义加速度传感+备忘录自提醒+联系人群发设置+快速方便的增删改查+简约完善的主页UI