85 Open source projects that are alternatives of or similar to HRTF-Individualization

Federated Principal Component Analysis Revisited!

Spatial Audio Python Package

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

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

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

Quick-Data-Science-Experiments

GoldSrc engine plugin for 3D sound

machine learning algorithms in Swift

Principal component analysis (PCA) in Ruby

system performance characterization tool based on linux perf

Playing with MNIST. Machine Learning. Generative Models.

No description or website provided.

Single-file implementations of 2D and 3D acoustic and elastic wave propagation in time domain using finite-differences(FDTD). Simple formulation and implementation

OCR Machine Learning in python

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

R Package: Regularized Principal Component Analysis for Spatial Data

A Julia package to handle spherical harmonic functions

This is an audio application that produces 3D binaural audio from 2D mono audio samples and positional information given by the graphical user interface. Listen to 3D audio through stereo headphones. Video Demo:https://www.youtube.com/watch?v=peF9cZSwVGw

Simple and free photo retouching tools,can transform,adjustment, shear,filling images,support layer,the selecti on. If you think that the PS is too complex might as well try.

Maximum Covariance Analysis in Python

Efficient similarity search and clustering for Ruby

PCA that iteratively replaces missing data

A spherical convolutional neural network for cosmology (TFv1).

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

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

A MATLAB toolbox for classifier: Version 1.0.7

Linear image-to-image translation

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 Now almost entirely superseded by the models-by-example repo.

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

Animated Visualizations of Popular Machine Learning Algorithms

Interactive Visual Machine Learning Demos.

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

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

A collection of Poisson lognormal models for multivariate count data analysis

zAnalysis是基于Pascal语言编写的大型统计学开源库

Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap

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

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

No description or website provided.

PlenOctree Extraction algorithm

Shape analysis has become of increasing interest to the medical community due to its potential to precisely locate morphological changes between healthy and pathological structures. SPHARM-PDM is a tool that computes point-based models using a parametric boundary description for the computing of Shape analysis.

Version 2.1.0 released

🕝 Time-warped principal components analysis (twPCA)

Implementations of machine learning algorithm by Python 3

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

Implement face recognition using PCA, LDA and LPP

📊 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.

📊 Computation and processing of models' parameters

经典机器学习算法的极简实现

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

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

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

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

Pan-sharpening in the Earth Engine code editor

🏗 Statistical models for biomolecular dynamics 🏗

PlenOctree Volume Rendering (supports CUDA & fragment shader backends)

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

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

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