A guide to blocking YouTube's anti-adblocking nonsense

some examples of "high math" that we can play with

BOW system with akaze,sift, dense-sift and a KNN classifier

Mixture of multivariate Student's t-distributions model

Contains cf_matrix.py file with a function to make a pretty visualization of a confusion matrix.

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Python (pip) package for fitting mixtures of Student's t-distributions using either maximum likelihood (EM) or Bayesian methodology (variational mean-field)

Implemented the concepts of Markov chains on stock prices as time-series data to understand its variation. Interpreted the underlying hidden states on which prices of stock indices depend. Modified…

Human Activity Recognition UCI Dataset, final score 0.97196

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Hidden Markov model time series data analysis

Github blog

Estimating Modes of User Behavior from Energy Consumption Time Series

Dynamic occupancy grid estimations for the KITTI 3D object detection dataset

PyTorch implementation of AnimeGANv2

SciPy library main repository

A easy HMM program written with Python, including the full codes of training, prediction and decoding.

call broad peak by a modified Baum_Welch algorithm that supports multi-dimensional Student's t emission.

GMM-HMM (Hidden markov model with Gaussian mixture emissions) implementation for sound recognition and other uses

Minimal object-oriented implementation of basic Hidden Markov Model functionality

Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.

Image Segmentation using Gaussian Mixture Models