Pinned Repositories
ivy
Convert Machine Learning Code Between Frameworks
Compiling-Programme
SNLCompilingPrograme
Computer_Graphics_FinalProject
Final project of Computer Graphics in the college of software engineering, JLU
FedML_submodule
FedNorm
FedTorchDrug
FedTorchDrug: A Federated Learning System and Benchmark based on TorchDrug
ic-hack-22
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.
MultiBranchCNN
Point based Spherical CNN
Taishan_Preprocess
For data preprocessing in Taishan PUSH-UP Detection Project
JLU-Neal's Repositories
JLU-Neal/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.
JLU-Neal/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.
JLU-Neal/DrawFunction
An android based application which could be used to draw a variety of functions.
JLU-Neal/Computer_Graphics_FinalProject
Final project of Computer Graphics in the college of software engineering, JLU
JLU-Neal/PesticideDetection
A java app based on Android platform, aiming to detect the quantity of pesticide left on the crops.
JLU-Neal/JLU_NewsSpider
An C# based spider to crawl news in Jilin University
JLU-Neal/Compiling-Programme
SNLCompilingPrograme
JLU-Neal/Genetic-Algorithm
An implementation of classical genetic algorithm.
JLU-Neal/openMP_Based_GA
Genetic Algorithm using openMP to optimize.
JLU-Neal/hello_world
Just for practising
JLU-Neal/TinySTL
TinySTL is a subset of STL(cut some containers and algorithms) and also a superset of STL(add some other containers and algorithms)
JLU-Neal/language-models
Build unigram and bigram language models, implement Laplace smoothing and use the models to compute the perplexity of test corpora.