An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: parzen-window

mahnoorsheikh16/Sketchify-A-Quick-Draw-drawing-classifier

Size: 290 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

miltiadiss/CEID_NE5237-Decision-Theory

The 1st project uses daily stock data from AlphaVantage API to predict the next day's closing price based on past values . The 2nd project processes Wavelet Transform features from banknotes and performs binary classification using Parzen windows, k-NN, and variations of SVMs.

Language: Jupyter Notebook - Size: 42 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PhilSchoeb/winequality_classif

Classification of wine quality using a hard_parzen and a soft_parzen with gaussian kernel models - Machine Learning course (IFT3395)

Language: Python - Size: 70.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

fardinabbasi/Machine_Learning

Containing various ML projects, including image and text classification, clustering, regression, and neural networks. Projects include implementations of Random Forest, SVM, Decision Trees, EM algorithms, and advanced models like MLP and CNN, with datasets ranging from facial emotion detection to ECG signals and more.

Size: 23.4 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

fardinabbasi/ParzenWindow

Performing non-parametric Parzen Window density estimation with a Gaussian kernel, implementing the method both from scratch and using built-in functions, and compares the results across various window widths and sample sizes.

Language: Jupyter Notebook - Size: 2.82 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Ri7Sh/GAN

Language: Jupyter Notebook - Size: 4.51 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

UnixJunkie/hts_shrink

Reference implementation of the Distance-Based Boolean Applicability Domain for HTS datasets

Language: OCaml - Size: 2.55 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 2

fardinabbasi/Regression-ParzenWindow-KNN

Machine Learning Course[ECE501] - Spring 2023 - University of Tehran - Dr. A. Dehaqani, Dr. Tavassolipour

Language: Jupyter Notebook - Size: 4.45 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

drvojtex/AnomalyDetection

Project to implement Gaussian mixture model and Parzen window estimation.

Language: Julia - Size: 2.34 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Arminkhayati/Statistical_Pattern_Recognition

Statistical pattern recognition course projects from shiraz university.

Language: Jupyter Notebook - Size: 28.1 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 2

MH-Farhadi/Stochastic-pattern-recognition

Language: Python - Size: 1.77 MB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

tayebiarasteh/Unsupervised_PatternAnalysis

Density Estimation, HMM Signature Verification, K-Means and Gap Statistics, Random Forests

Language: Python - Size: 11.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sampath9dasari/NaiveBayesClassifier-KDE

Implementation of Kernel Density Estimation for Naive Bayes from scratch

Language: Jupyter Notebook - Size: 203 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

Related Keywords
parzen-window 13 machine-learning 6 logistic-regression 4 python 3 kernel-density-estimation 3 regression 3 linear-regression 3 gaussian-kernel 3 knn 2 pca 2 kde 2 kmeans-clustering 2 naive-bayes-classifier 2 classification 2 svm 2 svm-classifier 2 bayesian-classifier 2 knn-classification 2 hmm 1 statistical 1 patternrecognition 1 pattern 1 university-assignment 1 histogram 1 university-course 1 unsupervised-learning 1 grid-search 1 gradient-descent 1 scratch-implementation 1 gaussian 1 bayesian 1 gaussian-mixture-models 1 regularization 1 logestic-regression 1 sample-selection 1 qsar 1 ocaml-program 1 hmmlearn 1 hidden-markov-model 1 gmmhmm 1 gap-statistic 1 density-estimation 1 stochastic-gradient-descent 1 spam-detection 1 softmax-regression 1 rbf-kernel 1 pattern-analysis 1 probability-distribution 1 random-forest 1 one-vs-one 1 random-forest-classifier 1 one-vs-all 1 random-forest-regressor 1 randomforest 1 histogram-density-estimation 1 closed-form-solution 1 bayesian-methods 1 sklearn 1 scipy 1 regression-models 1 pandas 1 numpy 1 knn-classifier 1 xgboost-classifier 1 tsne-visualization 1 spherical-gaussian-kernel 1 sequential-forward-selection 1 seaborn-plots 1 rnn-pytorch 1 pca-analysis 1 multivariate-gaussian-distribution 1 matplotlib-pyplot 1 linear-discriminant-analysis-lda 1 kfold-cross-validation 1 google-quick-draw 1 gaussian-naive-bayes 1 feature-engineering 1 drawing-classification 1 lbvs 1 hts 1 chemoinformatics 1 cadd 1 bandwidth-selection 1 applicability-domain 1 gan 1 scikit-learn 1 non-parametric-density-estimation 1 neural-networks 1 mlp 1 expectation-maximization 1 decision-tree 1 cnn 1 bayes-classifier 1 wine-quality 1 validation-set 1 test-set 1 soft-parzen 1 optimisation 1 hard-parzen 1