88 Open source projects that are alternatives of or similar to supervised-random-projections

Implement face recognition using PCA, LDA and LPP

🏗 Statistical models for biomolecular dynamics 🏗

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A collection of Poisson lognormal models for multivariate count data analysis

Animated Visualizations of Popular Machine Learning Algorithms

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

Pan-sharpening in the Earth Engine code editor

Code for "Effective Dimensionality Reduction for Word Embeddings".

machine learning algorithms in Swift

A powerful, feature-rich, random test data generator.

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

A python package for graph kernels, graph edit distances, and graph pre-image problem.

A randomizer for Final Fantasy 1 on the NES.

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

📊 Computation and processing of models' parameters

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

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

Implementations of machine learning algorithm by Python 3

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

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

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).

A MATLAB toolbox for classifier: Version 1.0.7

SJTU CS386 Digital Image Processing

NeurIPS 2018. Linear-time model comparison tests.

Efficient similarity search and clustering for Ruby

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.

Federated Principal Component Analysis Revisited!

PHP 5.x support for random_bytes() and random_int()

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

🔮 [C#] Source code randomizer and compiler

Quick-Data-Science-Experiments

Python packages providing a library for Verification Stimulus and Coverage

Java lib that generates random data (numbers, strings, dates) - mostly to facilitate Randomized Testing.

PCA that iteratively replaces missing data

OCR Machine Learning in python

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

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

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.

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

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

R Package: Regularized Principal Component Analysis for Spatial Data

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

A collection of Poisson lognormal models for multivariate count data analysis

Randomized Dimension Reduction Library

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

A repository for recording the machine learning code

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

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

UAI 2015. Kernel-based just-in-time learning for expectation propagation

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

No description or website provided.

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

No description or website provided.

Playing with MNIST. Machine Learning. Generative Models.

zAnalysis是基于Pascal语言编写的大型统计学开源库

system performance characterization tool based on linux perf

📊 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.

(Network Metadata Privacy) MAC Address spoofer with bonus combo (options): hostname + signal spoofer - *no disconnects!* Privacy Changing w/Brand Mimics: run as command or optional new randomized identity each boot; includes flags for continually changing random times/changing valid OUI addresses + Hostname randomizer + Device/Signal/location an…

Maximum Covariance Analysis in Python