MaWenhao-cn's Stars
cyberstalkers/cta-factor-evaluation
JustinYYZ/Leek
辅助评估**大陆主板螺纹钢、铁矿石、焦炭期货
0errors0warning/LSTM-future-prediction
LSTM铁矿石价格预测
lbugnon/emoHR
Methods for continuous emotion recognition based on heart rate variability signal. Affect recognition, emotion, HRV, ELM, sSOM, dimensional model of affects
burnpiro/elm-pure
Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)
qiuhaining/sklearn-SVM
支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等
otenim/Numpy-ELM
A Numpy Implementation of Extreme Learning Machine (ELM)
yogeshgajjar/classification_svm
Multi-Class and Multi-Label Classification using Support Vector Machines
gideon94/multilabel_classification_algorithms
Multilabel classification based on hazelnuts variety "c_avellana, c_americana,c_corutana and comparting with SVM, kNN, Decision tree, Naive Bayes classifiers
DevelopBG/SVM_multicass_classification
Using csv file
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
pawan070bct27/PCA_Decision_tree_comparison
abolidk/PCA
Decision tree with PCA
Baukebrenninkmeijer/table-evaluator
Evaluate real and synthetic datasets against each other
zhangys11/pyDRMetrics
A Python toolkit for dimensionality reduction quality assessment
eduardosleal/spectral_similarity
Compare similarity methods applied to spectral data
nicocopez/Classical-Least-Squares-Method-for-Quantitative-Spectral-Analysis
Classical Least Squares method implementation with Python. Application example on Quantitative Spectral Analysis: Calculating spectral similarity scores or how to find the concentration of pure substances in unknown mixtures. See my Medium post about it in https://towardsdatascience.com/classical-least-squares-method-for-quantitative-spectral-analysis-with-python-1926473a802c
zhangys11/qsi-tk
Shreeja7Sheth/1D-Gan-
Develop a 1D Generative Adversarial Network From Scratch in Keras
mese79/GANs_experiments
Some basic GANs codes and experiments
arkanivasarkar/EEG-Data-Augmentation-using-Variational-Autoencoder
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
csho33/bacteria-ID
Source code and demos for "Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning"
DerekKaknes/raman
Deep CNN for Raman Applications
spectrochempy/spectrochempy
SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
ALebrun-108/BoxSERS
Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).
Ezmalts/Augmentator_timeseries
Python class for making augmentation of time series data
schroscatt/Time-Series-Data-Augmentation-
Time Series Data Augmentation on Seismic Data
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
BryBry93/Gaussian-Smoothing
Applying a gaussian kernel to filter noise time series.
zabir-nabil/stock-price-lstm
Stock price prediction on Yahoo finance API data