Fernando Moreno-Pino fmorenopino
kastnerkyle
/ gmmhmm.py
Last active
July 4, 2025 10:50
GMM-HMM (Hidden markov model with Gaussian mixture emissions) implementation for speech recognition and other uses
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # (C) Kyle Kastner, June 2014 | |
| # License: BSD 3 clause | |
| import scipy.stats as st | |
| import numpy as np | |
| class gmmhmm: | |
| #This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m | |
| def __init__(self, n_states): | |
| self.n_states = n_states |
andrejbauer
/ beamer-slides-with-notes.pdf
Last active
September 24, 2025 21:29
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
lirnli
/ VRNN tiny Shakespeare.ipynb
Created
September 27, 2017 20:12
Variational Recurrent Network tiny Shakespeare
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
shreydesai
/ dotproduct_attention.py
Created
February 4, 2019 22:10
PyTorch Scaled Dot Product Attention
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import torch | |
| import torch.nn as nn | |
| import numpy as np | |
| class DotProductAttention(nn.Module): | |
| def __init__(self, query_dim, key_dim, value_dim): | |
| super().__init__() | |
| self.scale = 1.0/np.sqrt(query_dim) |