kudkudak

import theano
import theano.tensor as T
import keras.backend as K
import numpy as np
x = T.fmatrix()
mask = T.ones_like(x[:, 0])
mask = mask.dimshuffle(0, "x")
mask = K.dropout(mask, 0.5)
fnc = theano.function([x], mask)
print fnc(np.array([[1,2,3.], [4,5,6], [7,8,9]]).astype("float32"))

kudkudak

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
This file that defines model factories.

It is quite messy
"""

import logging

kudkudak

import sys
import numpy as np
from web import embedding
import web

from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.decomposition import RandomizedPCA

import logging

kudkudak

Embedding(self.vocabulary_size + 1, self.word_dim,
                            trainable=True, mask_zero=True,
                            dropout=self.dropout,
                            input_length=self.max_len)(sequence)
forward = LSTM(self.hidden_size, return_sequences=True)(emb)
backward = LSTM(self.hidden_size, go_backwards=True, return_sequences=True)(emb)
merged = merge([forward, backward], mode='concat')#, concat_axis=-1) # for theano uncomment
output = TimeDistributed(Dense(len(self.tag2ind), activation="softmax"))(merged)

kudkudak

#!/usr/bin/env python
"""
Probability model
    Posterior: (2-dimensional) Normal
Variational model
    Likelihood: Mean-field Normal
"""
import edward as ed
import tensorflow as tf

kudkudak

from scipy.stats.stats import spearmanr
import numpy as np
import cPickle

# Same score for the second included embedding
E = cPickle.load(open("Trans_embds/D_RNN_500k_144h.pkl"))
data = pd.read_csv("SimLex-999/SimLex-999.txt", sep="\t")

scores, golden_ratings = [], []
for _, row in data.iterrows():

kudkudak

import pandas as pd
import json
import copy

def krakrobot2016_calculate_ranking(data):
    data = copy.deepcopy(data)

    def get_wins(player_a, player_b):
        only_ab = A_pairs[(A_pairs["id_x"] == player_a) & (A_pairs["id_y"] == player_b)]
        wins = only_ab[(only_ab['points_x'] > only_ab['points_y']) | \

kudkudak

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
 Simple script running experiments from experiment_baselines only on MACCS
"""

import experiment_baselines_refactor
import optparse
from drgmum.utils import config_log_to_file
from drgmum.base import LOG_DIR

kudkudak

   4166 5-HT1a_actives.smi
   1155 5-HT1a_inactives.smi
    628 5-HT1b_actives.smi
    297 5-HT1b_inactives.smi
   1870 5-HT2a_actives.smi
    976 5-HT2a_inactives.smi
    407 5-HT2b_actives.smi
    333 5-HT2b_inactives.smi
   1490 5-HT6_actives.smi
    341 5-HT6_inactives.smi

kudkudak