MJ LUO RudRho

## docker-registry-mirrors.md

      
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                y0ngb1n
                / docker-registry-mirrors.md
            
            
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              May 24, 2024 08:30
            
              
                国内的 Docker Hub 镜像加速器，由国内教育机构与各大云服务商提供的镜像加速服务 | Dockerized 实践 https://github.com/y0ngb1n/dockerized
              
          
    Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。Docker 官方和国内很多云服务商都提供了国内加速器服务。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

配置加速地址


Ubuntu 16.04+、Debian 8+、CentOS 7+


## pad_packed_demo.py
import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

## README.md

      
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                ascendbruce
                / README.md
            
            
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              May 23, 2024 08:58
            
              
                Use macOS-style shortcuts in Windows
              
          
    Use macOS-style shortcuts in Windows / keyboard mappings using a Mac keyboard on Windows


ℹ️ There is a newer alternative project that does similar things and more, check it out at https://github.com/stevenilsen123/mac-keyboard-behavior-in-windows

Make Windows PC's shortcut act like macOS (Mac OS X) (using AutoHotkey (ahk) script)
With this AutoHotKey script, you can use most macOS style shortcuts (eg, cmd+c, cmd+v, ...) on Windows with a standard PC keyboard.
How does it work
	import torch
	from torch import LongTensor
	from torch.nn import Embedding, LSTM
	from torch.autograd import Variable
	from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

	## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
	#
	# Step 1: Construct Vocabulary
	# Step 2: Load indexed data (list of instances, where each instance is list of character indices)