Stars
In this project, you'll build a simple multi-agent system using LangChain, LangGraph, and NetworkX. You'll then deploy this system as a web application using Flask, Docker, and Terraform. This hand…
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
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
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.
onsB / hmm-gmm-tf2
Forked from kesmarag/hmm-gmm-tf2HMM class with GMM emission distributions (Tensorflow 2.0)
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