Stars
PyTorch implementation of AnimeGANv2
Hidden Markov Models in Python, with scikit-learn like API
SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Time series classification and clustering code written in Python.
Code, exercises and tutorials of my personal blog ! 📝
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Code files for Python-Machine-Learning-Cookbook
A easy HMM program written with Python, including the full codes of training, prediction and decoding.
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Implementation of Markov Chain Monte Carlo in Python from scratch
Contains cf_matrix.py file with a function to make a pretty visualization of a confusion matrix.
An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk
Deep convolutional generative adversarial network (DCGAN) trained to remove Snapchat filters from selfie images
Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.
Image thresholding in multiple colorspaces.
some examples of "high math" that we can play with
A framework for benchmarking clustering algorithms
Speed: Gina Cody School HPC Facility: Scripts, Tools, and Refs
Implementation of the paper: 'Robust mixture modelling using the t distribution', D. Peel and G. J. McLachlan.