70 Open source projects that are alternatives of or similar to Digital Image Processing Algorithms

No description or website provided.

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

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

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

📊 Computation and processing of models' parameters

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

OCR Machine Learning in python

Classification of WAV files from cats and dogs

Maximum Covariance Analysis in Python

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

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

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

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

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

Fusion ICA Toolbox (MATLAB)

Quick-Data-Science-Experiments

Principal component analysis (PCA) in Ruby

A collection of Poisson lognormal models for multivariate count data analysis

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

No description or website provided.

Linear image-to-image translation

Implement face recognition using PCA, LDA and LPP

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

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

R Package: Regularized Principal Component Analysis for Spatial Data

📊 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.

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

经典机器学习算法的极简实现

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

Python code for common Machine Learning Algorithms

Pan-sharpening in the Earth Engine code editor

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

A MATLAB toolbox for classifier: Version 1.0.7

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

Federated Principal Component Analysis Revisited!

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

Animated Visualizations of Popular Machine Learning Algorithms

quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.

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

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

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

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

machine learning algorithms in Swift

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

Playing with MNIST. Machine Learning. Generative Models.

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

Efficient similarity search and clustering for Ruby

Interactive Visual Machine Learning Demos.

PCA that iteratively replaces missing data

H2Oai GPU Edition

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

zAnalysis是基于Pascal语言编写的大型统计学开源库

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.

Version 2.1.0 released

system performance characterization tool based on linux perf

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

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.

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

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

Implementations of machine learning algorithm by Python 3