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bayethiernodiop / gmmhmm.py
Created February 7, 2019 15:00 — forked from kastnerkyle/gmmhmm.py
GMM-HMM (Hidden markov model with Gaussian mixture emissions) implementation for speech recognition and other uses
# (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
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bayethiernodiop / pg-pong.py
Created January 28, 2019 17:50 — forked from karpathy/pg-pong.py
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward