Sayed Anisul Hoque anis016
anis016
/ getLinesDifferenceBetweenTwoFiles.py
Last active
May 29, 2022 21:06
File comparisons that contains words or sentence
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| #!/usr/bin/env python2.7 | |
| # python getLinesDifferenceBetweenTwoFiles.py --path1=line1.txt --path2=line2.txt | |
| import sys | |
| import os | |
| import argparse | |
| def read_lines_and_compare_files(first_file, second_file): | |
| if not os.path.exists(first_file) or not os.path.exists(second_file): |
anis016
/ !easy hacks
Last active
August 16, 2020 10:24
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| This gist contains all the easy hacks |
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| Fojat: | |
| https://www.amazon.de/dp/B0725P9D3Q/ref=sr_1_4?crid=173HI3G5ZY877&keywords=kopfh%C3%B6rer+noise-cancelling&qid=1574277000&refinements=p_76%3A419122031%2Cp_72%3A419117031&rnid=669059031&rps=1&s=ce-de&sprefix=Headphones+noise+%2Celectronics%2C149&sr=1-4 | |
| https://www.amazon.de/Neutrogena-Norwegische-Moisture-Bodylotion-Sensitive/dp/B01LTHLR68/ref=pd_rhf_se_s_sspa_dk_rhf_search_pt_sub_0_12?_encoding=UTF8&pd_rd_i=B01LTHLR68&pd_rd_r=a741c108-06a0-48be-b95d-e19fbc7681e8&pd_rd_w=3IlqC&pd_rd_wg=SekPi&pf_rd_p=b137599d-7c94-490a-baee-bfa71341f05f&pf_rd_r=KD24DS0QVZRAQHV76TGW&refRID=KD24DS0QVZRAQHV76TGW&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUExMEFKVFhSVFhUT0wmZW5jcnlwdGVkSWQ9QTA2MzkxNTEySTlRNUpPMVRXUkU3JmVuY3J5cHRlZEFkSWQ9QTA1MjQwNTAyTTBITk9RU1hLMk04JndpZGdldE5hbWU9c3BfcmhmX3NlYXJjaCZhY3Rpb249Y2xpY2tSZWRpcmVjdCZkb05vdExvZ0NsaWNrPXRydWU&th=1&fbclid=IwAR19EElvObc70v1XAAwKxdwfOhoPpecFCMIhFspldWt5ZX-HIyVdPeNY7dg | |
| https://www.amazon.de/gp/product/B000V3ME00/ref=ox_sc_act_title_2?smid=A3JWKAKR8XB7XF&psc=1 | |
| https://www.amazon.de/Pr |
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| This gist contains useful bash scripts |
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| import torch | |
| import torch.nn as nn | |
| from torch.autograd import Variable | |
| import torch.nn.functional as F | |
| import random | |
| flatten = lambda l: [item for sublist in l for item in sublist] | |
| random.seed(1024) | |
| USE_CUDA = torch.cuda.is_available() | |
| gpus = [0] |
anis016
/ java joda time operations
Created
June 11, 2018 11:32
1) getting earlier date from current date, 2) converting a yyyyMMdd to yyyMM format, 3) date comparision
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| import org.joda.time.DateTime; | |
| import org.joda.time.LocalDate; | |
| import org.joda.time.format.DateTimeFormat; | |
| import org.joda.time.format.DateTimeFormatter; | |
| import java.io.IOException; | |
| import java.util.Calendar; | |
| import java.util.Date; | |
| DateTimeFormatter formatter = DateTimeFormat.forPattern( "yyyyMM"); |
anis016
/ Nvidia setup for DL-RIG
Last active
May 24, 2018 00:49
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| tutorial: | |
| 1. https://medium.com/@vivek.yadav/deep-learning-setup-for-ubuntu-16-04-tensorflow-1-2-keras-opencv3-python3-cuda8-and-cudnn5-1-324438dd46f0 | |
| 2. https://towardsdatascience.com/build-and-setup-your-own-deep-learning-server-from-scratch-e771dacaa252 [for opencv only] | |
| ** installing tensorflow-gpu follow above tutorial | |
| ** installing pytorch-gpu | |
| # install torch (cuda 9) | |
| $ conda install pytorch torchvision cuda90 -c pytorch | |
| # test gpu install | |
| python -c 'import torch; print(torch.rand(2,3).cuda())' |
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| 3bA62813 | |
| https://de.pcpartpicker.com/list/37fp8Y | |
| ### caseking (Bought) | |
| 9. 750W 80+ Gold Certified Fully-Modular ATX Power Supply - 99.90 | |
| https://www.caseking.de/en/bitfenix-fury-80-plus-gold-netzteil-semi-modular-750-watt-nebf-003.html | |
| 7. Gigabyte - GeForce GTX 1080 8GB WINDFORCE OC 8G Video Card - 609 |
anis016
/ add_pycharm_launcer
Last active
March 8, 2020 19:21
— forked from rob-murray/add_intellij_launcer
Add pycharm launcher shortcut and icon for ubuntu
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| // create file: | |
| $ sudo touch /usr/share/applications/pycharm.desktop | |
| $ sudo vim /usr/share/applications/pycharm.desktop | |
| [Desktop Entry] | |
| Version=1.0 | |
| Name=PyCharm | |
| GenericName=IDE | |
| Exec="/home/ghost016/IDE/pycharm-community-2019.3.3/bin/pycharm.sh" %f |
anis016
/ building rl4j for 0.9.2-SNAPSHOT
Last active
March 8, 2018 13:08
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| # building rl4j for the latest snapshot (mvnrepository still doesn't have the latest build) | |
| # build pipeline >> javacpp -> libnd4j -> nd4j -> DataVec -> deeplearning4j -> rl4j | |
| # https://github.com/deeplearning4j/rl4j/issues/73#issuecomment-335732797 | |
| 0. note about maven version. it must be latest (running 3.5.0) | |
| 1. install cmake | |
| 1.1 wget https://cmake.org/files/v3.11/cmake-3.11.0-rc2-Linux-x86_64.sh | |
| 1.2 chmod a+x cmake-3.6.2-Linux-x86_64.sh | |
| 1.3 mkdir /opt/cmake | |
| 1.4 sudo sh cmake-3.11.0-rc2-Linux-x86_64.sh --prefix=/opt/cmake --skip-license |
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