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parametric-t-sne-in-keras

a python implementation of Parametric t-SNE in Keras

photovoltaic-power-prediction

光伏功率预测

photovoltaic_rank37_solution

“光伏电站人工智能运维大数据处理分析”第37名解决方案

photovoltaics

光伏发电功率预测

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pm2.5_predict

XGB、LSTM、KNNR、SVR预测

power-prediction

电力预测

prediction-of-remaining-useful-life-in-li-ion-batteries

Using LSTM-RNN model with Transfer Learning

pso

粒子群算法 matlab2016b

pso-dbn

By using 3-layer DBN to extract features embed in original image data, then fed the features into a extreme learning machine(ELM) for classification. Due to the difficulty in hiiden-nodes selection， then PSO was applied to select it automatically ,and PSO aimed to minimize the fitness function that is the accuracy of DBN-ELM crossvalidation classifcition

pso-elm

pso-vs-woa

The Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.

psocnn

Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.

psosvmlearn

123

pyimageclassification

Image Feature Extraction and Classification Using Python

pymetaheuristic

A python library for: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Artificial Fish Swarm Algorithm, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Crow Search Algorithm, Cuckoo Search, Differential Evolution, Dispersive Flies Optimization, Dragonfly Algorithm, Firefly Algorithm, Flow Direction Algorithm, Flower Pollination Algorithm, Genetic Algorithm, Grasshopper Optimization Algorithm, Gravitational Search Algorithm, Grey Wolf Optimizer, Harris Hawks Optimization, Improved Grey Wolf Optimizer, Improved Whale Optimization Algorithm, Jaya, Jellyfish Search Optimizer, Krill Herd Algorithm, Memetic Algorithm, Moth Flame Optimization, Multiverse Optimizer,Pathfinder Algorithm, Particle Swarm Optimization, Random Search, Salp Swarm Algorithm, Simulated Annealing, Sine Cosine Algorithm, Teaching Learning Based Optimization, Whale Optimization Algorithm.

pyopls

A Python 3 implementation of orthogonal projection to latent structures

pyoselm

A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning

pyridge

Supervised Ridge classification. Machine learning algorithms applied to classification machine learning problems

python-image-feature-extraction

Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。

pytorch-cifar10

pytorch and cifar10

pytorch-lstm-forecast

基于pytorch搭建多特征LSTM时间序列预测

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

relm

Regularized Extreme Learning Machines in Python using Numpy and scikit-learn

rolling-bearing-fault-diagnosis

利用最小二乘支持向量机进行分类器建模，改进鲸鱼算法（基于冯洛伊曼拓扑的鲸鱼算法）进行超参数寻优

rul_of_cutter

刀具剩余寿命预测

rul_prediction

remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit

salp-swarm-algorithm-for-feature-selection

Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.