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juwlee / multiprocess_with_instance_methods.py
Created May 8, 2017 14:47 — forked from bnyeggen/multiprocess_with_instance_methods.py
Example showing how to use instance methods with the multiprocessing module
from multiprocessing import Pool
from functools import partial
def _pickle_method(method):
func_name = method.im_func.__name__
obj = method.im_self
cls = method.im_class
if func_name.startswith('__') and not func_name.endswith('__'): #deal with mangled names
cls_name = cls.__name__.lstrip('_')
func_name = '_' + cls_name + func_name
@juwlee
juwlee / timeseries_cnn.py
Created March 16, 2017 06:06 — forked from jkleint/timeseries_cnn.py
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""
from __future__ import print_function, division
import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential
@juwlee
juwlee / gmmhmm.py
Created March 8, 2017 03:33 — 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
- word2vec https://arxiv.org/abs/1310.4546
- sentence2vec, paragraph2vec, doc2vec http://arxiv.org/abs/1405.4053
- tweet2vec http://arxiv.org/abs/1605.03481
- tweet2vec https://arxiv.org/abs/1607.07514
- author2vec http://dl.acm.org/citation.cfm?id=2889382
- item2vec http://arxiv.org/abs/1603.04259
- lda2vec https://arxiv.org/abs/1605.02019
- illustration2vec http://dl.acm.org/citation.cfm?id=2820907
- tag2vec http://ktsaurabh.weebly.com/uploads/3/1/7/8/31783965/distributed_representations_for_content-based_and_personalized_tag_recommendation.pdf
- category2vec http://www.anlp.jp/proceedings/annual_meeting/2015/pdf_dir/C4-3.pdf