sinat_15355869的博客

论文：End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF 学习笔记：见云盘（挖个坑） 代码： from __future__ import print_function from collections import OrderedDict import torch import torch.nn as nn fro...

链接： 代码： from __future__ import unicode_literals, print_function, division from io import open import glob import os import unicodedata import string """ Python glob()函数的作用和用法 https://blog.youkuaiyun.com...

代码： import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim torch.manual_seed(1) # 基础知识复习 nn.LSTM 的输入与输出 """ rnn = nn.LSTM(10, 20, 2) # input_size, hidden_s...

import torch import torch.nn as nn import torch.nn.functional as F import torch.utils.data as tud from collections import Counter import numpy as np import random USE_CUDA = torch.cuda.is_availabl...

【转】：https://mathpretty.com/10526.html 修改了模型的结构：效果显著 # @TIME : 2019/7/9 下午8:42 # @File : FizzBuzz_new.py import numpy as np import torch import torch.nn as nn import torch.utils.data as tud fro...

import numpy as np def random_init(num_rows, num_cols): return np.random.rand(num_rows, num_cols)*0.01 def zero_init(num_rows, num_cols): return np.zeros((num_rows, num_cols)) class DataRe...

【转】https://zybuluo.com/hanbingtao/note/541458 【转】karpathy/min-char-rnn.py # @TIME : 2019/7/21 下午02:07 # @File : RNN_numpy.py import numpy as np from functools import reduce class ReluActivato...

pytorch-Field 源码：text/torchtext/data/field.py 【转】如何利用torchtext读取json文件并生成batch 作者：Geek Fly --> 这篇文章挺好的 # coding: utf8 from collections import Counter, OrderedDict from itertools import ch...

链接：https://pytorch.org/docs/stable/nn.html?highlight=avg_pool2d#torch.nn.functional.avg_pool2d 链接：https://pytorch.org/docs/stable/nn.html?highlight=avg_pool1d#torch.nn.AvgPool2d 以下用来回忆使用： 截图： 、 ...

# @TIME : 2019/7/31 上午00:35 # @File : A - Using TorchText with Your Own Datasets.py """ define the Fields loaded the dataset created the splits TEXT = data.Field() LABEL = data.LabelField() ...

官方解释： 用法截图：unsqueeze 用法截图：squeeze 官方链接： https://pytorch.org/docs/stable/torch.html#torch.squeeze https://pytorch.org/docs/stable/torch.html#torch.unsqueeze ...

github：https://github.com/yjfiejd/2019xuexi/tree/master/Pytorch_new 一、问题： 情感分析问题：数据大概长啥样： train_data: {'text': ['ab', 'cd', 'dd', xxx], 'label': 'pos'} 二、思路： """ 代码逻辑： 1）用torchtext中自带的datasets...

pytorch 文档:https://pytorch.org/docs/stable/nn.html?highlight=lstm#torch.nn.LSTM torchtext 文档:https://torchtext.readthedocs.io/en/latest/# 参考论文： Neural Nets and Neural Language Models.Dan Jura...

crf: # @TIME : 2019/3/17 下午10:52 # @File : chainer_implementation.py # 参考：https://github.com/createmomo/CRF-Layer-on-the-Top-of-BiLSTM import numpy as np import chainer import chainer.links as ...

import torch import torch.autograd as autograd import torch.nn as nn import torch.optim as optim torch.manual_seed(1) def argmax(vec): # return the argmax as a python int _, idx = torch.max...

直接代码： import torch import torch.nn as nn import torch.utils.data as Data import torchvision import matplotlib.pyplot as plt # Hyper parameters torch.manual_seed(1) EPOCH = 1 #训练一批次 BATCH_SICE = 5...

举例 # -*- coding:utf-8 -*- import pickle import sys import yaml import torch import torch.optim as optim from data_manager import DataManager from model import BiLSTMCRF from utils import f1_score...

    import copy import pickle as cPickle import torch class DataManager(): def __init__(self, max_length=100, batch_size=20, data_type='train', tags=[]): self.index = 0 self.in...

      import copy import numpy as np import torch import torch.nn.functional as F from torch import nn START_TAG = "START" STOP_TAG = "STOP" def log_sum_exp(vec): max_score = torch.max(vec...

"""Build vocabularies of words and tags from datasets""" import argparse from collections import Counter import json import os parser = argparse.ArgumentParser() parser.add_argument('--min_count_w...

  Train your experiment. Simply run python train.py --data_dir data/small --model_dir experiments/base_model It will instantiate a model and train it on the training set following the hyperparamet...

代码 import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim torch.manual_seed(1) CONTEXT_SIZE = 2 EMBEDDING_DIM = 30 EPOCH = 100 VERVOSE = 5 # 0) 文本分开 corpus_...

代码： import torch import torch.nn as nn import numpy as np def make_context_vector(context, word_to_ix): idxs = [word_to_ix[w] for w in context] return torch.tensor(idxs, dtype=torch.long) ...

代码 import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim torch.manual_seed(1) # 1) 准备数据 def prepare_sentence(seq, to_ix): idx = [to_ix[w] for w in seq...

# @TIME : 2019/3/4 上午00:38 # @File : CBOW_2.py import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim class CBOW(nn.Module): def __init__(self, vocab_si...

代码： # @TIME : 2019/3/5 上午8:07 # @File : LSTM_3_5.py import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim torch.manual_seed(1) # # 0) 定义 input 3， output ...

基本操作： # standard library import os # third-party library import torch import torch.nn as nn import torch.utils.data as Data import torchvision import matplotlib.pyplot as plt # torch.manual_seed(1...