324 Open source projects that are alternatives of or similar to spectral-clustering.matlab

A high performance implementation of HDBSCAN clustering.

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Python Clustering Algorithms

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

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.

🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

Exploring sklearn 🌟

An open source library for the GPU-implementation of L-BFGS-B algorithm

subsemble R package for ensemble learning on subsets of data

Subjective answer evaluation using machine learning. Give your answers at this link ->

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

No description or website provided.

The simplest Perceptron you'll ever see

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

anomaly detection with anomalize and Google Trends data

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

ExCon: Explanation-driven Supervised Contrastive Learning

A Latent Dirichlet Allocation implementation in Python.

ADENINE: A Data ExploratioN PipelINE

bitcoin prediction algorithms

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

My GitHub blog: things you might be interested, and probably not...

An intelligently dumb calculator that uses machine learning

ugtm: a Python package for Generative Topographic Mapping

Basic Machine Learning implementation with python

Model training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project

Tensorflow implementation of the Restricted Boltzmann Machine

This repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

A rehost of the python version of SPArse Modeling Software (SPAMS)

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Implementations of machine learning algorithm by Python 3

A collection of Methods and Models for various architectures of Artificial Neural Networks

A clustering tutorial with scikit-learn for beginners.

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Learn the theory, math and code behind different machine learning algorithms and techniques.

Continuously Learning Artificial Intelligence Rules Engine (Claire) for Smart Homes

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Programmable Decision Tree Framework

Implementation of the Neural Clustering Process algorithm in Pytorch

Implementations of normalizing flows using python and tensorflow

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

David Mackay's book review and problem solvings and own python codes, mathematica files

All content related to machine learning from my blog

Perform Efficient ML/DL Modelling easily

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

Parallel random matrix tools and complexity for deep learning

Single-cell exploratory data analysis for RNA-Seq

Library for Multi-objective optimization in Gradient Boosted Trees

Cloud-native Financial Reinforcement Learning

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Examples how MLJAR can be used

Cluster analysis library for Golang