danijar

#!/usr/bin/python3
"""Move or delete directories via your text editor.

Installation:

- Install sh.py via `pip3 install sh`.
- Save this file into a directory in your $PATH, for example `~/bin`.
"""
import argparse
import tempfile

danijar

"""Character based language modeling with multi-layer GRUs.

To train the model:

  python3 tf_char_rnn.py --mode training \
      --logdir path/to/logdir --corpus path/to/corpus.txt

To generate text from seed words:

  python3 tf_char_rnn.py --mode sampling \

danijar

import numpy as np


class Network:

    def __init__(self, num_inputs, num_hidden, num_output,
                 init_weight_scale=0.5):
        self.w1 = np.random.normal(
            0, init_weight_scale, (num_inputs + 1, num_hidden))
        self.w2 = np.random.normal(

danijar

algorithms:
- config:
  | frame_skip: 6
  | history: 6
  | replay_capacity: 5e4
  name: DQN
  train_steps: 200000
  type: DQN
envs:
- SimpleGather-v0

danijar

Char-RNN Sample

Parameters

dataset = ArxivAbstracts(
    categories='stat.ML cs.NE cs.LG math.OC',
    keywords='neural network deep')
max_length = 50
sampling_temperature = 0.5

danijar

keygen
uprises
non-infected
counter-weight
pipetted
quispel
rooster-whistles
moisturisers
enfeoffing
pre-adolescents

danijar

# Working example for my blog post at:
# http://danijar.com/variable-sequence-lengths-in-tensorflow/
import functools
import sets
import tensorflow as tf
from tensorflow.models.rnn import rnn_cell
from tensorflow.models.rnn import rnn


def lazy_property(function):

danijar

# Working example for my blog post at:
# http://danijar.com/variable-sequence-lengths-in-tensorflow/
import functools
import sets
import tensorflow as tf
from tensorflow.models.rnn import rnn_cell
from tensorflow.models.rnn import rnn


def lazy_property(function):

danijar

import argparse
import collections
import re

TOKEN_REGEX = re.compile(r'[A-Za-z]+')
BLACKLIST = set([
    'pdf', 'and', 'the', 'proceedings', 'conference', 'ieee', 'for',
    'about', 'details', 'data', 'with', 'arxiv', 'preprint', 'advances'])

def tokenize(line):

danijar

# Example for my blog post at:
# http://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf


def lazy_property(function):
    attribute = '_' + function.__name__