455 Open source projects that are alternatives of or similar to Machine_Learning

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

A curated list of community detection research papers with implementations.

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

Synthetic Minority Over-Sampling Technique for Regression

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

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

In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, or Daily Business Issues.

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

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.

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

Building Decision Trees From Scratch In Python

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

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

ssdeep cluster analysis for malware files

A R framework for pipeline benchmarking, with application to single-cell RNAseq

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

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

Hazelcast .NET Client

Automated Time Series Forecasting

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

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

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

Jupyter Notebook presentation for class imbalance in binary classification

This repository contains the code of Vert.x examples contained in my articles published on platforms such as kodcu.com, medium, dzone. How to run each example is described in its readme file.

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

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

Materials of the Nordic Probabilistic AI School 2019.

Dirichlet Process K-means

A Python Library for Similarity-based Dimensionality Reduction

A fast and flexible framework for data reduction in R

Different clustering approaches applied on different problemsets

High performance model preprocessing library on PyTorch

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

Parametric Contrastive Learning (ICCV2021)

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

Cluster management for Discord bots using the Eris library.

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

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

Implementation of SOM and GSOM

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

Flexible, extensible fuzzy c-means clustering in python.

c++ implementation of clustering by DBSCAN

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

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

Automatic Gap-Fill Question Generation

Modeling molecular ensembles with scalable data structures and parallel computing

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

R interface for Fixed Effect Models

Cluster and visualize relationships between anime on MyAnimeList

Heart Disease prediction using 5 algorithms

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Trajectory Tracking Project

Fuzzy c-means Clustering

PyTorch DataLoader processed in multiple remote computation machines for heavy data processings

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

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

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

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