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

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).

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

No description or website provided.

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 Now almost entirely superseded by the models-by-example repo.

Maximum Covariance Analysis in Python

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

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

Python code for common Machine Learning Algorithms

A MATLAB toolbox for classifier: Version 1.0.7

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

HMM based on KMeans and GMM

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

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

PCA that iteratively replaces missing data

Absolute balanced kdtree for fast kNN search.

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

A practical guide to topic mining and interactive visualizations

Principal component analysis (PCA) in Ruby

gesture recognition toolkit

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

Plain python implementations of basic machine learning algorithms

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

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

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Linear image-to-image translation

Python Clustering Algorithms

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

A clustering tutorial with scikit-learn for beginners.

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

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

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.

Feature extraction by using SITF+BoF.

R Package: Regularized Principal Component Analysis for Spatial Data

Golang Utilities for Data Analysis

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

⭐ A Python package for optimal 1D k-means clustering.

A Julia wrapper for Fast Library for Approximate Nearest Neighbors (FLANN)

All the code for a series of Medium articles on Approximate Nearest Neighbors

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

Using Self-Organizing Maps for Travelling Salesman Problem

Fusion ICA Toolbox (MATLAB)

Federated Principal Component Analysis Revisited!

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

A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.

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

CUDA implementation of Hierarchical Navigable Small World Graph algorithm

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

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

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

Using Extended Cohn-Kanade AU-Coded Facial Expression Database to classify basic human facial emotion expressions using ann

Randomized Dimension Reduction Library

No description or website provided.

Cukatify is a music social media project

Implement face recognition using PCA, LDA and LPP

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

Code for "Effective Dimensionality Reduction for Word Embeddings".

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

Quick-Data-Science-Experiments