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unsupervised-learning-algorithms

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opencog / opencog

Star 2.5k

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

learning robotics natural-language agi learning-algorithm unsupervised-learning robot-controller unsupervised-learning-algorithms natural-language-inference natural-language-understanding unsupervised-machine-learning
  • Updated Aug 26, 2025
  • Scheme

jiaxiaogang / HE

Star 337

螺旋抗熵系统

agi computational-neuroscience learning-algorithm artificial-general-intelligence unsupervised-learning-algorithms helix unsupervised-machine-learning neuromorphic-computing theory-of-helix neuron-models brain-inspired-computation brain-simulations brain-inspired-ai decision-system thinking-machine
  • Updated Aug 1, 2026
  • Objective-C

jiaxiaogang / HELIX_THEORY

Star 144

螺旋抗熵理论

agi computational-neuroscience learning-algorithm artificial-general-intelligence unsupervised-learning-algorithms helix unsupervised-machine-learning neuromorphic-computing theory-of-helix neuron-models brain-inspired-computation brain-simulations brain-inspired-ai decision-system thinking-machine
  • Updated Aug 1, 2026
  • Objective-C

KaiyangZhou / vsumm-reinforce

Star 143

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

reinforcement-learning video-summarization unsupervised-learning-algorithms
  • Updated Nov 30, 2021
  • Python

usnistgov / pyMCR

Star 97

pyMCR: Multivariate Curve Resolution for Python

multivariate unsupervised-learning unsupervised-learning-algorithms spectroscopy mixture-modeling hyperspectral unsupervised-machine-learning hyperspectral-data multivariate-curve-resolution self-modeling-mixture-analysis
  • Updated Oct 26, 2021
  • Python

milosgajdos / gosom

Star 75

Self-organizing maps in Go

go golang neural-networks unsupervised-learning-algorithms som-clustering som-training-algorithms data-clustering
  • Updated May 28, 2022
  • Go

yaricom / goNEAT_NS

Star 43

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

golang neat neuroevolution reinforcement-learning-algorithms artificial-neural-networks unsupervised-learning unsupervised-learning-algorithms augmenting-topologies unsupervised-machine-learning novelty-search explainable-artificial-intelligence explainable-ai modular-ai
  • Updated Dec 9, 2024
  • Go

yaricom / goESHyperNEAT

Star 20

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.

golang reinforcement-learning neat neuroevolution unsupervised-learning-algorithms hyperneat unsupervised-machine-learning artifical-neural-network explainable-artificial-intelligence modular-ai
  • Updated Apr 16, 2026
  • Go

PeterSchuld / Stanford-StatisticalLearning

Star 12

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 Tibshira…

r classification trees unsupervised-learning-algorithms regression-analysis resampling-methods
  • Updated Mar 23, 2020
  • HTML

bicv / SparseHebbianLearning

Star 10

unsupervised learning of natural images -- à la SparseNet.

neuroscience sparse neural-networks unsupervised-learning sparse-coding unsupervised-learning-algorithms hebbian-learning matching-pursuit
  • Updated Apr 19, 2024
  • Jupyter Notebook

tharindurb / iNNE

Star 9
data-mining outlier-detection unsupervised-learning unsupervised-learning-algorithms isolation anomaly-detection unsupervised-machine-learning
  • Updated Jan 2, 2017
  • Java

guanwei49 / GRASPED

Star 9

GRASPED: A GRU-AE Network based Multi-perspective Business Process Anomaly Detection Model

deep-learning autoencoder unsupervised-learning-algorithms business-process anomaly-detectionn
  • Updated Oct 31, 2024
  • Python

Dipta04 / Machine-Learning

Star 9

This repository contains practical implementations of core machine learning algorithms and techniques, created for learning and practice purposes.

encoding machine-learning statistics probability data-visualization pca data-analysis data-preprocessing unsupervised-learning-algorithms hyperparameter-tuning supervised-learning-algorithms gridsearchcv ensemble-methods randomsearchcv scalling
  • Updated Jan 27, 2026
  • Jupyter Notebook

sauravsingla / Outlier_Detection_Tutorials

Star 8

Reproducible Python tutorials and benchmarks for outlier detection using statistical methods, machine learning, ensembles, autoencoders, tests, exercises, and CI.

reproducible-research scikit-learn machine-learning-algorithms jupyter-notebook python3 autoencoders unsupervised-learning-algorithms dbscan-clustering isolation-forest-algorithm one-class-svm outlier-detection-algorithm anomaly-detection-algorithm local-outlier-factor-isolation-
  • Updated Jul 30, 2026
  • Jupyter Notebook

madhurimarawat / Machine-Learning-Using-Python

Star 7

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

python deep-learning random-forest svm scikit-learn machine-learning-algorithms pandas supervised-learning pca matplotlib unsupervised-learning-algorithms knn data-cleaning decision-tree iris-dataset supervised-learning-algorithms breast-cancer-dataset kaggle-datasets wine-dataset single-neuron-neural-network
  • Updated Jan 15, 2026
  • Jupyter Notebook

lkorczowski / acstp

Star 7

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

erp eeg unsupervised-learning-algorithms event-related-potentials noise-cancellation
  • Updated Dec 12, 2018
  • MATLAB

asifehmad / Machine-Learning-Lecture-Slides-ES-442

Star 6

Complete lecture slides for Machine Learning (ES-442) at GIK Institute, Fall 2025. Covers Supervised Learning (Decision Trees, SVM, Neural Networks), Unsupervised Learning (Clustering, SOM), and Reinforcement Learning (MDPs, Q-Learning, Deep RL).

machine-learning machine-learning-algorithms reinforcement-learning-algorithms artificial-neural-networks machinelearning unsupervised-learning-algorithms mathematics-machine-learning lecture-slides machine-learning-models supervised-learning-algorithms introduction-to-machine-learning mathematics-for-ml artificial-neural-networks-and-deep-learning mathematics-for-ai lecture-slides-machine-learning machine-learnin-lecture-slides machine-learning-lectures
  • Updated Jan 15, 2026

chiachun / UVA

Star 6

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

deep-learning video-processing unsupervised-learning-algorithms computervision
  • Updated Aug 29, 2017
  • Python

mardavsj / Machine-Learning-Algorithms

Sponsor
Star 6

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

python machine-learning algorithms reinforcement-learning-algorithms unsupervised-learning-algorithms supervised-learning-algorithms
  • Updated Mar 7, 2024
  • Python

PetoLau / UnsupervisedEnsembles

Star 6

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

machine-learning data-mining r time-series clustering ensemble-learning unsupervised-learning unsupervised-learning-algorithms cluster-analysis unsupervised-machine-learning time-series-clustering time-series-forecast time-series-forecasting unsupervised-ensemble-learning
  • Updated Nov 19, 2018
  • R

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