<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[能找到答案的，只有自己]]></title><description><![CDATA[梦想还是要有的]]></description><link>https://blog.youkuaiyun.com/tsinghuahui</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; tsinghuahui]]></copyright><item><title><![CDATA[Git Notes]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/134163160</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/134163160</guid><author>tsinghuahui</author><pubDate>Wed, 01 Nov 2023 16:53:02 +0800</pubDate><description><![CDATA[整理一些简洁明了有用的 resources 备用~]]></description><category></category></item><item><title><![CDATA[卸载并重新安装 cuda]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/132817787</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/132817787</guid><author>tsinghuahui</author><pubDate>Mon, 11 Sep 2023 21:34:45 +0800</pubDate><description><![CDATA[【代码】卸载并重新安装 cuda。]]></description><category></category></item><item><title><![CDATA[Build CUDA from Source]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/132030502</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/132030502</guid><author>tsinghuahui</author><pubDate>Mon, 31 Jul 2023 21:00:43 +0800</pubDate><description><![CDATA[【代码】Build CUDA from Source。]]></description><category></category></item><item><title><![CDATA[wget from Google Drive]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/131533817</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/131533817</guid><author>tsinghuahui</author><pubDate>Tue, 04 Jul 2023 14:19:22 +0800</pubDate><description><![CDATA[【代码】wget from Google Drive。]]></description><category></category></item><item><title><![CDATA[【无标题】]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/130930478</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/130930478</guid><author>tsinghuahui</author><pubDate>Tue, 30 May 2023 19:37:14 +0800</pubDate><description><![CDATA[因为终止运行的容器文件，依然会占据硬盘空间。【container 相关】【image 相关】]]></description><category></category></item><item><title><![CDATA[cv2.imread() 和 PIL.Image.open()的区别，联系，和互相转换]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/129124280</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/129124280</guid><author>tsinghuahui</author><pubDate>Mon, 20 Feb 2023 14:52:55 +0800</pubDate><description><![CDATA[python 读取图片我呢见]]></description><category></category></item><item><title><![CDATA[Fix Bug: “undefined symbol: ..., version libcublasLt.so.11“ （简单有效！强推~）]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/129120442</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/129120442</guid><author>tsinghuahui</author><pubDate>Mon, 20 Feb 2023 11:13:03 +0800</pubDate><description><![CDATA[环境配置中的bug和坑]]></description><category></category></item><item><title><![CDATA[Huggingface Accelerate 学习笔记]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/124882418</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/124882418</guid><author>tsinghuahui</author><pubDate>Thu, 26 May 2022 20:08:24 +0800</pubDate><description><![CDATA[1. 前言
Accelerate 能帮助我们：

方便用户在不同设备上 run Pytorch training script.

mixed precision
不同的分布式训练场景, e.g., multi-GPU, TPUs, …


提供了一些 CLI 工具方便用户更快的 configure &amp; test 训练环境，launch the scripts.

方便使用：
用一个例子感受一下。传统的 PyTorch trainin..]]></description><category></category></item><item><title><![CDATA[VSCODE 远程 debug python，lauch.json 配置]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/124406828</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/124406828</guid><author>tsinghuahui</author><pubDate>Mon, 25 Apr 2022 15:44:29 +0800</pubDate><description><![CDATA[{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
     ]]></description><category></category></item><item><title><![CDATA[ERROR 2002 (HY000): Can‘t connect to local MySQL server through socket ‘/var/run/mysqld/mysqld.sock‘]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/121890591</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/121890591</guid><author>tsinghuahui</author><pubDate>Sun, 12 Dec 2021 17:31:16 +0800</pubDate><description><![CDATA[$ mysql -u&lt;username&gt; -p&lt;password&gt; 提示：ERROR 2002 (HY000): Can't connect to local MySQL server through socket '/var/run/mysqld/mysqld.sock' (111)。
解决方法：

检查文件/var/run/mysql/mysqld.sock是否存在。若不存，则进行手动创建：$ touch /var/run/mysqld/mysqld.sock。
更改文件权限，使]]></description><category></category></item><item><title><![CDATA[2020.3 Enhanced meta-learning for cross-lingual named entity recognition with minimal resources 阅读笔记]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/104785739</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/104785739</guid><author>tsinghuahui</author><pubDate>Wed, 11 Mar 2020 00:06:54 +0800</pubDate><description><![CDATA[Motivation

Problem Setting:

a) One source language with rich labeled data.
b) No labeled data in the target language.


现有的 Cross-lingula NER 方法可以分为两大类：

a) Label projection (generate labeled data i...]]></description><category></category></item><item><title><![CDATA[2018.8. Unsupervised machine translation: A novel approach to provide fast... 阅读笔记]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959120</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959120</guid><author>tsinghuahui</author><pubDate>Mon, 21 Oct 2019 13:54:21 +0800</pubDate><description><![CDATA[Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages
FB AI research
Abstract
本文提出的方法由两个步骤构成：word-by-word initialization 和 translating sentence (...]]></description><category></category></item><item><title><![CDATA[2018.8. Phrase-Based & Neural Unsupervised Machine Translation 阅读笔记]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959108</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959108</guid><author>tsinghuahui</author><pubDate>Mon, 21 Oct 2019 13:53:06 +0800</pubDate><description><![CDATA[2018.8-Guillaume Lample-Phrase-Based &amp;amp; Neural Unsupervised Machine Translation
Facebook
Abstract

This paper: propose 2 models

neural model (NMT)
phrase-based model (PBSMT)
both of them leverage
...]]></description><category></category></item><item><title><![CDATA[2018.4. Unsupervised machine translation using monolingual corpora 阅读笔记]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959086</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959086</guid><author>tsinghuahui</author><pubDate>Mon, 21 Oct 2019 13:52:34 +0800</pubDate><description><![CDATA[2018.4-Guillaume Lample, Marc’Aurelio Ranzato-Unsupervised machine translation using monolingual corpora only-ICLR2018
Facebook AI research
Abstract

Target

unsupervised translation


This paper

Map...]]></description><category></category></item><item><title><![CDATA[2018.2. Unsupervised Neural Machine Translation 阅读笔记]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959069</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959069</guid><author>tsinghuahui</author><pubDate>Mon, 21 Oct 2019 13:52:07 +0800</pubDate><description><![CDATA[2018.2-Mikel Artetxe, Kyunghyum Cho-Unsupervised Nueral Machine Translation
UPV/EHU, New York University
ICLR2018
Abstract

This paer

build upon the recent work on unsupervised embedding mappings

这篇...]]></description><category></category></item><item><title><![CDATA[2017. cheap translation for Cross-lingual NER 阅读笔记]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959044</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959044</guid><author>tsinghuahui</author><pubDate>Mon, 21 Oct 2019 13:51:02 +0800</pubDate><description><![CDATA[cheap translation for Cross-lingual NER, Illinois Champaign

提出了一个生成翻译字典的 cheap translation 算法
该算法可以和 wikifier features、Brown Cluster features 等结合取得更好的效果
通过实验说明当 source Lan. 与 traget Lan. 相似度比较高时，可以进一...]]></description><category></category></item><item><title><![CDATA[2018.9. Neural Cross-Lingual Named Entity Recognition 阅读笔记]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959159</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/82959159</guid><author>tsinghuahui</author><pubDate>Mon, 21 Oct 2019 13:49:28 +0800</pubDate><description><![CDATA[Jiateng Xie
Neual Cross-Lingual Named Entity Recognition, CMU
Abstract
本文提出了两种方法来解决 under the unsupervised transfer setting 下 cross-lingual NER 中的挑战。lexical mapping (STEP 1-3). word ordering (STEP 4)....]]></description><category></category></item><item><title><![CDATA[code snippets]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/89487743</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/89487743</guid><author>tsinghuahui</author><pubDate>Wed, 24 Apr 2019 10:33:57 +0800</pubDate><description><![CDATA[hit Ctrl + C to break out of training early

try:
	for epoch in range(epochs):
		# code for training here
except KeyboardInterrupt:
	print('Exiting from training early.')


]]></description><category></category></item><item><title><![CDATA[python argparse中action的可选参数store_true的作用]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/89279152</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/89279152</guid><author>tsinghuahui</author><pubDate>Sat, 13 Apr 2019 10:52:07 +0800</pubDate><description><![CDATA[# test.py
import argparse

if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument("--test_action", action='store_true')

    args = parser.parse_args()
    action_va...]]></description><category></category></item><item><title><![CDATA[Beam Search score function]]></title><link>https://blog.youkuaiyun.com/tsinghuahui/article/details/86740874</link><guid>https://blog.youkuaiyun.com/tsinghuahui/article/details/86740874</guid><author>tsinghuahui</author><pubDate>Fri, 01 Feb 2019 14:33:35 +0800</pubDate><description><![CDATA[一般情况下，beam search 通常用于翻译等句子生成任务中。 beam_size 用来在翻译所所需时长和翻译准确度之间进行权衡。当beam_size = 1时，beam search 则退化为 greedy search。
另一方面，当 n_best 的取值大于1时，由 beam search 可以得到一个 approximate n-best list，而不是只输入一个最优值。
Hypot...]]></description><category></category></item></channel></rss>