377 Open source projects that are alternatives of or similar to Spectre

A data-centric flow/mass cytometry automated analysis framework

A curated list of community detection research papers with implementations.

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

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

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

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

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

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

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

A method to mine beyond-pairwise relationships using Min-Hashing for large-scale pattern discovery

DBSCAN Clustering Algorithm C# Implementation

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

Spectral clustering algorithms written in Julia

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

Urbica React Cluster Component for Mapbox GL JS

Process and Analyze Mouse-Tracking Data

How to deploy a MongoDB Replica Set using Docker

Minimum-distortion embedding with PyTorch

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

A python package to assess cluster tendency

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

A polylinear timeline with clustering, centred on interactions. — Doc and demo https://octree-gva.github.io/Zeitline/

Implementation of linear CorEx and temporal CorEx.

A JavaScript library to allocate and optimize financial portfolios.

Python version of PHLAWD

Python Implementation for Linde-Buzo-Gray / Generalized Lloyd Algorithm for vector quantization.

Fuzzy Hash calculated from import API of PE files

🙃Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Single-cell Hierarchical Poisson Factorization

ADENINE: A Data ExploratioN PipelINE

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Estimate dynamic high-order correlations in multivariate timeseries data

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Hierarchical clustering in JavaScript

Turkish-Ottoman Makam (M)usic Analysis TOolbox

🎨 Apply color quantization to images using k-means clustering.

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.

Natural Language Processing for Lithuanian language

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

SSH distribution for erlang

Elixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data

Cluster analysis library for Golang

etcd-based peer discovery backend for RabbitMQ 3.7.0+

Local Fisher Discriminant Analysis in R

The OpenSVC node agent

Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing

Consul - based cluster manager that can be plugged into Vert.x ecosystem.

Python port of R's Comprehensive Dynamic Time Warp algorithms package

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

MongoDB sharded cluster

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.