Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Machine Learning ModelsDecision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
MlkitA simple machine learning framework written in Swift 🤖
Awesome Quantum Machine LearningHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Colorz🎨 A k-means color scheme generator.
KdtreeAbsolute balanced kdtree for fast kNN search.
VizukaExplore high-dimensional datasets and how your algo handles specific regions.
Prominentcolorgolang package to find the K most dominant/prominent colors in an image
Kmeans pytorchpytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
VectorsinsearchDice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
Kdd2019 k Multiple MeansImplementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.
AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Grtgesture recognition toolkit
KmcudaLarge scale K-means and K-nn implementation on NVIDIA GPU / CUDA
pigmnts🎨 Color palette generator from an image using WebAssesmbly and Rust
kmeansA simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python
SparsifiedKMeansKMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
ClusterRGaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
AnnA Anki neuronal AppendixUsing machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
KMeans elbowCode for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
data-science-popular-algorithmsData Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
SIFT-BoFFeature extraction by using SITF+BoF.
skmeansSuper fast simple k-means implementation for unidimiensional and multidimensional data.
goudaGolang Utilities for Data Analysis
ml-simulationsAnimated Visualizations of Popular Machine Learning Algorithms
kmeans1d⭐ A Python package for optimal 1D k-means clustering.
deepvismachine learning algorithms in Swift
faiss-rubyEfficient similarity search and clustering for Ruby
CukatifyCukatify is a music social media project