zhangxiaowbl

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

SALib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

SVDD-Python

Python code for abnormal detection using Support Vector Data Description (SVDD)

FuzzyCMeans

A Python 2 implementation of Fuzzy C Means Clustering algorithm.

DBN

Simple code tutorial for deep belief network (DBN)

eeg-rsenet

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

BatAlgorithm

tensorflow-Deep-learning

Tensorflow Examples

cso_cuckoo_search_optimization

Implemented fully documented Cuckoo Search Optimization algorithm via Levy Flights (basic model) using Python programming language

my_Optimization-studio

Metaheuristic(Genetic algorithm, Particle swarm optimization, Cuckoo search, Grey wolf optimizer), Reinforcement Learning with Python

scikit-cmeans

Flexible, extensible fuzzy c-means clustering in python.

K-Sparse-AutoEncoder

Sparse Auto Encoder and regular MNIST classification with mini batch's

twd

A Python library for Three Way Decision and Rough Set Theory

CGFFCM

CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation

Fuzzy-C-means-from-scratch

Simple implementation of Fuzzy C-means algorithm using python. It is used for soft clustering purpose. Visualizing the algorithm step by step with the cluster plots at each step and also the final clusters.

twd

Model of three-way decision

neuro-fuzzy-library

free library for clustering and neuro-fuzzy systems

ExtractiveTextSummarizationUsingDeepLearning

Extractive Text Summarization Using Deep Learning: Single document summarization using RBM and Fuzzy logic

mcmc-algorithms

Implementation of MCMC Algorithms Metropolis-Hastings and Gibbs Sampling

CMeans_fuzzy

Classification based on Fuzzy Logic(C-Means) - Computational Intelligence Course 2nd Project

optimization

This is a playground for learning and working with various Optimization algorithms with a focus on real life applications.

scDMFK

Single-cell transcriptome data clustering via multinomial modeling and adaptive fuzzy k-means algorithm

DBN

Unsupervised training of Deep Belief Nets

rbm

Restricted Boltzmann Machine: Crisp and Fuzzy versions

hmc-hyperparameter-tuning

Framework to tune the hyperparameters of Hamiltonian Monte Carlo in an automated fashion

semi-supervised-learning

Implemented semi-supervised learning for digit recognition using Sparse Autoencoder

Markov-Chain-and-Metropolis-Hastings-Algorithm

Markov Chain Monte Carlo algorithms.

ML-CODES

This repository contains Python codes for Autoenncoder, Sparse-autoencoder, HMM, Expectation-Maximization, Sum-product Algorithm, ANN, Disparity map, PCA.

GEMS-TDA

Topological Data Analysis for Parameter Estimation of Noisy Biexponential Decay (UD GEMS research project)