PalmnetSource code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"
Stars: ✭ 25 (+0%)
NannyA tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
Stars: ✭ 17 (-32%)
H2o 3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stars: ✭ 5,656 (+22524%)
Prince👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
Stars: ✭ 591 (+2264%)
CilantroA lean C++ library for working with point cloud data
Stars: ✭ 577 (+2208%)
H2o4gpuH2Oai GPU Edition
Stars: ✭ 416 (+1564%)
fitFusion ICA Toolbox (MATLAB)
Stars: ✭ 13 (-48%)
motionLibquaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.
Stars: ✭ 23 (-8%)
HRTF-IndividualizationHead-related Transfer Function Customization Process through Slider using PCA and SH in Matlab
Stars: ✭ 38 (+52%)
dropClustVersion 2.1.0 released
Stars: ✭ 19 (-24%)
NIDS-Intrusion-DetectionSimple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
Stars: ✭ 45 (+80%)
ml经典机器学习算法的极简实现
Stars: ✭ 130 (+420%)
FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Stars: ✭ 16 (-36%)
mnist-challengeMy solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Stars: ✭ 68 (+172%)
MachineLearningโค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]
Stars: ✭ 28 (+12%)
smalltextClassify short texts with neural network.
Stars: ✭ 15 (-40%)