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13 search results found

Pure Numpy Implementation of the Coherent Point Drift Algorithm

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

Fast Dawid Skene ⭐ 33

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

Text Analysis ⭐ 32

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

CLIP-seq Analysis of Multi-mapped reads

Python library to implement advanced trading strategies using machine learning and perform backtesting.

Data Science Skills Practice ⭐ 11

Color Segmentation Using Gmm ⭐ 10

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Clusterrows ⭐ 10

A LibreOffice Calc extension that clusters the rows in a table and colors them to indicate the clusters.

Expectation Maximization ⭐ 9

An implementation of the expectation maximization algorithm

Machine Learning Clustering Retrieval ⭐ 6

Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python

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