thirdratecyberpunk

## tmux-cheatsheet.markdown

      
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                MohamedAlaa
                / tmux-cheatsheet.markdown
            
            
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              July 20, 2024 15:48
            
              
                tmux shortcuts & cheatsheet
              
          
    tmux shortcuts & cheatsheet

start new:
tmux

start new with session name:
tmux new -s myname


## twitter_sentiment_analysis_convnet.py
import keras.backend as K
import multiprocessing
import tensorflow as tf

from gensim.models.word2vec import Word2Vec

from keras.callbacks import EarlyStopping
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Flatten
from keras.layers.convolutional import Conv1D

## ubuntu_16_amd_rocm_theano
## Shout out to jarutis here https://gist.github.com/jarutis/ff28bca8cfb9ce0c8b1a
## install Catalyst proprietary
## sudo cp /etc/X11/xorg.conf /etc/X11/xorg.conf.BAK

sudo apt update
sudo apt dist-upgrade

# on a clean install not needed but could be helpful
sudo apt-get remove --purge fglrx*

## get_tweet_replies.py
# Author: Qiushi Pan (@qqhann)
# This is a code snippet with sample usage, to get replies to a specific tweet.
# =====

import tweepy
import time
import os
from collections import defaultdict
from dotenv import load_dotenv, find_dotenv
env = load_dotenv(find_dotenv(), override=True)

## A guide to install and use the PyTorch C++ API with Anaconda.md

      
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                mhubii
                / A guide to install and use the PyTorch C++ API with Anaconda.md
            
            
              Last active
              July 16, 2024 05:43
            
          
    PyTorch C++ API Ubuntu Installation Guide

The best way to get a clean installation of PyTorch, is to install the pre-compiled binaries from the Anaconda distribution. Therefore, we need to setup Anaconda first.
Step 1: Install Anaconda


Go to the download section and download your desired Anaconda version for Linux


Run the downloaded shell script and follow the install instruction, do


## einsum_with_pytorch.ipynb

      
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                hsm207
                / einsum_with_pytorch.ipynb
            
            
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              May 11, 2022 13:57
            
              
                Code to accompany my blog post at https://bit.ly/2PmRjiC
              
          
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## mal_to_letterboxd.py
"""
Takes in a given MAL export file and generates a list of movies
in .csv format supported by LetterBoxd
"""

import xmltodict
import json
import pandas as pd

allowed_types = ["Movie", "OVA"]
	import keras.backend as K
	import multiprocessing
	import tensorflow as tf

	from gensim.models.word2vec import Word2Vec

	from keras.callbacks import EarlyStopping
	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Flatten
	from keras.layers.convolutional import Conv1D
	## Shout out to jarutis here https://gist.github.com/jarutis/ff28bca8cfb9ce0c8b1a
	## install Catalyst proprietary
	## sudo cp /etc/X11/xorg.conf /etc/X11/xorg.conf.BAK

	sudo apt update
	sudo apt dist-upgrade

	# on a clean install not needed but could be helpful
	sudo apt-get remove --purge fglrx*
	# Author: Qiushi Pan (@qqhann)
	# This is a code snippet with sample usage, to get replies to a specific tweet.
	# =====

	import tweepy
	import time
	import os
	from collections import defaultdict
	from dotenv import load_dotenv, find_dotenv
	env = load_dotenv(find_dotenv(), override=True)
	"""
	Takes in a given MAL export file and generates a list of movies
	in .csv format supported by LetterBoxd
	"""

	import xmltodict
	import json
	import pandas as pd

	allowed_types = ["Movie", "OVA"]