121 Open source projects that are alternatives of or similar to faiss-ruby

Explore high-dimensional datasets and how your algo handles specific regions.

Implementations of machine learning algorithm by Python 3

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

经典机器学习算法的极简实现

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

machine learning algorithms in Swift

Animated Visualizations of Popular Machine Learning Algorithms

Version 2.1.0 released

A collection of Poisson lognormal models for multivariate count data analysis

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Simple 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

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

SJTU CS386 Digital Image Processing

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

📊 Computation and processing of models' parameters

🏗 Statistical models for biomolecular dynamics 🏗

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

Interactive Visual Machine Learning Demos.

zAnalysis是基于Pascal语言编写的大型统计学开源库

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

system performance characterization tool based on linux perf

Classification of WAV files from cats and dogs

A repository for recording the machine learning code

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

PCA and DBSCAN based anomaly and outlier detection method for time series data.

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

PCA that iteratively replaces missing data

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Principal component analysis (PCA) in Ruby

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

H2Oai GPU Edition

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)

Linear image-to-image translation

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

H2O 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.

R Package: Regularized Principal Component Analysis for Spatial Data

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

A lean C++ library for working with point cloud data

Pan-sharpening in the Earth Engine code editor

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Randomized Dimension Reduction Library

Streaming, Memory-Limited, r-truncated SVD Revisited!

Python code for common Machine Learning Algorithms

A MATLAB toolbox for classifier: Version 1.0.7

No description or website provided.

Fusion ICA Toolbox (MATLAB)

Cukatify is a music social media project

Implement face recognition using PCA, LDA and LPP