Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: unsupervised-learning-algorithms

Repositories

jiaxiaogang/HELIX_THEORY

螺旋熵减理论

Language: Objective-C - Size: 89.2 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 135 - Forks: 35

bicv/SparseHebbianLearning

unsupervised learning of natural images -- à la SparseNet.

Language: Jupyter Notebook - Size: 1.14 GB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 7 - Forks: 2

jiaxiaogang/he4o

螺旋熵减系统

Language: Objective-C - Size: 223 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 319 - Forks: 67

usnistgov/pyMCR

pyMCR: Multivariate Curve Resolution for Python

Language: Python - Size: 6.69 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 79 - Forks: 27

yaricom/goNEAT_NS

This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

Language: Go - Size: 4.53 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 35 - Forks: 7

opencog/opencog

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Language: Scheme - Size: 178 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 2,315 - Forks: 728

mardavsj/Machine-Learning-Algorithms

It consists of basic concepts of Machine-Learning with its algorithms.

Language: Python - Size: 46.9 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 4 - Forks: 0

madhurimarawat/Machine-Learning-Using-Python

This repository contains machine learning programs in the Python programming language.

Language: Jupyter Notebook - Size: 2.05 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 1

KaiyangZhou/vsumm-reinforce

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (Theano)

Language: Python - Size: 630 KB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 136 - Forks: 35

PetoLau/UnsupervisedEnsembles

Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.

Language: R - Size: 19.5 KB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 6 - Forks: 4

mickypaganini/SSI2016-jet-clustering

Improving jet clustering using different unsupervised learning algorithms

Language: C++ - Size: 41.6 MB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 2 - Forks: 6

PeterSchuld/Stanford-StatisticalLearning

Stanford Online course STATSX0001 "Statistical Learning" follows closely the sequence of chapters in the course text "An Introduction to Statistical Learning, with Applications in R" (James, Witten, Hastie, Tibshirani - Springer 2013). Trevor Hastie Professor of Statistics and of Biomedical Data Sciences, Stanford University, and Robert Tibshirani Professor of Biomedical Data Science and Statistics, Stanford University

Language: HTML - Size: 13.8 MB - Last synced: 9 months ago - Pushed: about 4 years ago - Stars: 2 - Forks: 0

milosgajdos/gosom

Self-organizing maps in Go

Language: Go - Size: 1.7 MB - Last synced: about 2 months ago - Pushed: almost 2 years ago - Stars: 74 - Forks: 10

ExcViral/K-Means-Clustering

Implementation of K-Means clustering algorithm in python

Language: Python - Size: 6.84 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 1

yaricom/goESHyperNEAT

The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

Language: Go - Size: 1.33 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 13 - Forks: 3

1brahimmohamed/AI-in-Medical-Fields

From Scratch Implemented Machine Learning Classifiers Algorithms for AI in Medical Fields Coursework (SBE3021)

Language: Jupyter Notebook - Size: 5 MB - Last synced: 10 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

chiachun/UVA

Applying pre-trained CNN and clustering algorithms on recognizing people in videos

Language: Python - Size: 25.4 KB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 6 - Forks: 0

sanjana098/machine-learning-course

All the graded assignments of the course

Language: Matlab - Size: 27.9 MB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Faisal-AlDhuwayhi/Identify-Customer-Segments

Identifying Customer Segments using unsupervised learning techniques

Language: Jupyter Notebook - Size: 725 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

akshayjain777/CS584-Machine-Learning-Course-Work

My Masters Coursework on Machine Learning

Language: Jupyter Notebook - Size: 997 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

paulfoley/Udacity_Nanodegree-Machine_Learning

Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning

Language: HTML - Size: 19.7 MB - Last synced: about 1 year ago - Pushed: almost 7 years ago - Stars: 1 - Forks: 1

lkorczowski/acstp

Adaptive Common Spatio-Temporal Pattern (ACSTP) for Event-Related Potential (ERP) analysis.

Language: Matlab - Size: 3.9 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 6 - Forks: 2

Ashleshk/Machine-Learning-Data-Science-Deep-Learning

This Repository Consists All Courses, Projects and Online Learning Done in Context of Machine learning, Data Sceince And Deep Learning From Various Sources like Youtube, Coursera, Udemy And WEbsites like Scikit, Keras

Language: Jupyter Notebook - Size: 118 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 1

analyticalnahid/Unsupervised-Machine-Learning

Most popular unsupervised Machine Learning algorithms from scratch with implementation using Scikit-learn & others library

Language: Jupyter Notebook - Size: 10.5 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

SreeSaiBhavesh/ML_Algos

Implementation of various Machine Learning models

Language: Jupyter Notebook - Size: 4.23 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

joshuayeung/Creating-Customer-Segments-with-Arvato

Unsupervised Learning Project of Udacity Data Scientist Nanodegree

Language: Jupyter Notebook - Size: 301 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 1

SyedMuhammadMuhsinKarim/machine_learning_algorithms

Language: Python - Size: 8.79 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

MohamedSebaie/Algorithm-WorkShop-In_Python-ITI_Clustering_Project

Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)

Language: Jupyter Notebook - Size: 15 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

srm-mic/Unsupervised_Learning_Algorithms Fork of sashrika15/Unsupervised_Learning_Algorithms

Python implementations of Unsupervised Learning algorithms from scratch

Language: Jupyter Notebook - Size: 6.34 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

Suykim21/nlp_restaurant_search_engine

Second capstone project from Springboard's Data Science Career Track Program. NLP project containing data analysis reports and code to perform gathering text data through web-scraping, text preprocessing, topic modeling, EDA, and utilizing doc2vec algorithm. Please see README section for more information.

Language: Jupyter Notebook - Size: 43.7 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Related Keywords

unsupervised-learning-algorithms 35 unsupervised-machine-learning 15 unsupervised-learning 13 machine-learning 11 machine-learning-algorithms 10 supervised-learning-algorithms 7 python 7 clustering 5 supervised-learning 5 reinforcement-learning-algorithms 5 deep-learning 4 unsupervised-clustering 4 reinforcement-learning 3 golang 3 udacity-nanodegree 3 learning-algorithm 3 agi 3 neuroevolution 2 udacity 2 neuromorphic-computing 2 k-means 2 pytorch-implementation 2 svm 2 brain-inspired-ai 2 algorithms 2 helix 2 decision-system 2 computational-neuroscience 2 scikit-learn 2 kmeans-clustering 2 kmeans-algorithm 2 brain-simulations 2 iris-dataset 2 pca 2 brain-inspired-computation 2 deep-neural-networks 2 data-science 2 udacity-machine-learning-nanodegree 2 thinking-machine 2 theory-of-helix 2 r 2 data-mining 2 neural-networks 2 machinelearning-python 2 artificial-neural-networks 2 artificial-general-intelligence 2 explainable-artificial-intelligence 2 neuron-models 2 modular-ai 2 neat 2 deep-reinforcement-learning 1 udemy 1 youtube 1 svm-classifier 1 semicolon 1 opencv 1 qlearning-algorithm 1 opencv-python 1 hebbian-learning 1 population 1 principal-component-analysis 1 sklearn 1 assignment 1 capstone-project 1 classification-models 1 pandas-python 1 regression-models 1 certificate 1 supervised-machine-learning 1 supervised-unsupervised-learning 1 eeg 1 erp 1 event-related-potentials 1 noise-cancellation 1 coursera 1 data-sceince 1 deep 1 nlp 1 anomaly-detection 1 isolation 1 outlier-detection 1 artificial-intelligence 1 boltzmann-machines 1 deep-learning-algorithms 1 numpy 1 numpy-neural-network 1 python3 1 pytorch 1 restricted-boltzmann-machine 1 torch 1 unsupervised-deep-learning 1 decision-trees 1 cluster 1 unsupervised-feature-learning 1 affinity-propagation 1 affinity-propagation-clustering 1 machinelearning 1 algorithm 1 dbscan 1 dbscan-algorithm 1