502 Open source projects that are alternatives of or similar to mathematics-statistics-for-data-science

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Clustering with variational Bayes and population Monte Carlo

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Machine Learning Course @ Santa Clara University

Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.

General Assembly's 2015 Data Science course in Washington, DC

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

A repository of resources for understanding the concepts of machine learning/deep learning.

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

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

A curated list of community detection research papers with implementations.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

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

distfit is a python library for probability density fitting.

Easy genetic ancestry predictions in Python

R interface for Fixed Effect Models

Cluster and visualize relationships between anime on MyAnimeList

A simple implementation of the LOESS algorithm using numpy

A Power BI template that provides easy to understand, actionable flow metrics and predictive analytics for your agile teams using Azure DevOps, Azure DevOps Server and/or TFS.

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

Lesson material on data science and machine learning topics/concepts

The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.

Software for exploration of gene expression data from single-cell RNA sequencing.

c++ implementation of clustering by DBSCAN

Visual exploration of clustered data.

This project is ABANDONWARE. Use https://www.rabbitmq.com/cluster-formation.html instead.

Single cell type annotation guided by cell atlases, with freedom to be queer

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Trajectory Tracking Project

Different clustering approaches applied on different problemsets

A fun study of some heuristics for the Travelling Salesman Problem.

ssdeep cluster analysis for malware files

Consul-based peer discovery backend for RabbitMQ 3.7.0+

A continuous-time hybridization-expansion Monte Carlo code for calculating n-particle Green's functions of the Anderson impurity model and within dynamical mean-field theory.

<<------ Use SnapATAC!!

interactive clustering platform

🕝 Time-warped principal components analysis (twPCA)

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

SyncFlux is an Open Source InfluxDB Data synchronization and replication tool for migration purposes or HA clusters

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

Heart Disease prediction using 5 algorithms

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

A Software to interactively edit data in a graphical manner

A high-level Docker Services management tool built on top of Swarm

Feature Selection for Clustering

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

A simple C# class using Watson TCP to enable a one-to-one high availability cluster.

Ansible role to install Consul (cluster of) server/agent

A Clojure machine learning library

Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).

This package has migrated to https://github.com/rezakj/iCellR please use iCellR instead of scSeqR for more functionalities and updates.

Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)

A data-centric flow/mass cytometry automated analysis framework

Benchmarking and Visualization Toolkit for Penalized Cox Models

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).