Clustering-in-PythonClustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
tf-example-modelsTensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.
OMG Depth FusionProbabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras
deepgmrPyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
PyBGMMBayesian inference for Gaussian mixture model with some novel algorithms
AI Learning HubAI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
kdsb17Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
baysegAn unsupervised machine learning algorithm for the segmentation of spatial data sets.
android-vadThis VAD library can process audio in real-time utilizing GMM which helps identify presence of human speech in an audio sample that contains a mixture of speech and noise.
fishervectorImproved Fisher Vector Implementation- extracts Fisher Vector features from your data