88 Open source projects that are alternatives of or similar to Ristretto

A repository for recording the machine learning code

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

H2Oai GPU Edition

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

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

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

A Python scikit for building and analyzing recommender systems

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

Interactive Visual Machine Learning Demos.

SJTU CS386 Digital Image Processing

Python code for common Machine Learning Algorithms

system performance characterization tool based on linux perf

Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC

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

Principal component analysis (PCA) in Ruby

A collection of Poisson lognormal models for multivariate count data analysis

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

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

zAnalysis是基于Pascal语言编写的大型统计学开源库

MXNet for CTR

Implementations of machine learning algorithm by Python 3

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

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

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

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

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

Pan-sharpening in the Earth Engine code editor

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

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.

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

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

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

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

A recommendation system using tensorflow

Natural Language Processing for Lithuanian language

No description or website provided.

Linear image-to-image translation

Version 2.1.0 released

Quick-Data-Science-Experiments

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

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

R Package: Regularized Principal Component Analysis for Spatial Data

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Fusion ICA Toolbox (MATLAB)

📊 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.

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

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

Classification of WAV files from cats and dogs

Singular Value Decomposition for generic number types

Animated Visualizations of Popular Machine Learning Algorithms

A MATLAB toolbox for classifier: Version 1.0.7

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

Federated Principal Component Analysis Revisited!

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

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

Code for "Effective Dimensionality Reduction for Word Embeddings".

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

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).

Four word embedding models implemented in Python. Supporting arbitrary context features

经典机器学习算法的极简实现