awesome-edgeai

Resources of our survey paper "A Systematic Review of AI Deployment on Resource-Constrained Edge Devices: Challenges, Techniques, and Applications"

awesome-feature-selection

Feature selection, methods, research papers, and implementation.

c_language_programming

对浙大何钦铭版C语言程序设计课后题的基本实现

data_structures_algorithms

Basic operations and algorithms for data structures, including linear list, stacks and queues, strings, arrays and generalized list, trees and graphs, and related algorithms for searching and sorting.

datasets_collection

Datasets for research, e.g. Graph data, Biological data, Text data, etc.

datastructure

对严蔚敏版本《数据结构》的基本实现

eode

Code for: Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner -- [IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB 24)]

fwpso

hsnoe

Code for “Evolving Pathway Activation from Cancer Gene Expression Data using Nature-inspired Ensemble Optimization”--[Expert Systems With Applications 24]

learningnotes

llm-reasoning-hub

Resources related to LLM Reasoning

mel

Code for “MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection“--[IEEE Transactions on Knowledge and Data Engineering (TKDE 24)]

pat-notes

算法笔记的题（PAT）

rag-qa-generator

RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。

sawde

Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 22]

wangxb96