JLU-Neal/JLU_NewsSpider

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1
Language
C#
License
MIT License
Created over 5 years ago
Updated over 5 years ago

JLU-Neal/JLU_NewsSpider

JLU-Neal

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An C# based spider to crawl news in Jilin University

FedNorm

Taishan_Preprocess

For data preprocessing in Taishan PUSH-UP Detection Project

FedTorchDrug

FedTorchDrug: A Federated Learning System and Benchmark based on TorchDrug

ModifiedGA

It is well known that when the fitness function is relatively complex, the optimization time cost of the genetic algorithm will be extremely large. To address this issue, the surrogate model was employed to predict the fitness value of the optimization problem in order to reduce the number of actual calculated fitness values. In this project, the tSNE(t-Stochastic neighbour Embedding), the least-square method, and Affinity Propagation were fused in the genetic algorithm to evaluate partial individuals’ fitness. Sufficient benchmark numerical experiments were conducted, and the results proved that the strategy could reduce the number of calculations of the fitness function with similar accuracy to that of a simple genetic algorithm.

FedML_submodule

MultiBranchCNN

Point based Spherical CNN

PesticideDetection

A java app based on Android platform, aiming to detect the quantity of pesticide left on the crops.

Computer_Graphics_FinalProject

Final project of Computer Graphics in the college of software engineering, JLU

Genetic-Algorithm

An implementation of classical genetic algorithm.

Compiling-Programme

SNLCompilingPrograme

Fusion-Strategy-to-Speed-Up-Genetic-Algorithm-with-Surrogate-Model

A back-propagation (BP) neural network, the least-square method, and support-vector regression were fused in the genetic algorithm to evaluate partial individuals’ fitness.

openMP_Based_GA

Genetic Algorithm using openMP to optimize.