svmihar

from typing import List
from pathlib import Path
import multiprocessing
from gensim.models.doc2vec import Doc2Vec, TaggedDocument
from gensim.models import Word2Vec
import argparse
from gensim.utils import simple_preprocess
from datetime import datetime
from tqdm import tqdm

svmihar

logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s -   %(message)s',
    datefmt='%m/%d/%Y %H:%M:%S',
    level=logging.INFO)
logger = logging.getLogger(__name__)

svmihar

"""
avg O(m+n), worst O(m*n)

only returns the index of the first pattern occurrence. 

so if you search 'a' in 'bdaba', it returns 2
"""

class RollingHash:
    def __init__(self, text, sizeWord):

svmihar

# Play an audio beep. Any audio URL will do.
from google.colab import output
output.eval_js('new Audio("https://upload.wikimedia.org/wikipedia/commons/0/05/Beep-09.ogg").play()')

svmihar

apt-get install tmux && pip install jupyter lab && \
tmux && \
jupyter lab --ip 0.0.0.0 --port 56784

svmihar

# Setup Ubuntu
sudo apt update --yes
sudo apt upgrade --yes

# Get Miniconda and make it the main Python interpreter
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p ~/miniconda 
rm ~/miniconda.sh
export PATH=~/miniconda/bin:$PATH

svmihar

https://stackoverflow.com/questions/1463340/how-to-revert-multiple-git-commits/1470452#1470452

$ git reset --hard A
$ git reset --soft @{1}  # (or ORIG_HEAD), which is D
$ git commit

svmihar

Transfer Learning Papers

what is transfer learning

• what is transfer learning

  transfer learning is the process of training a model on a large-scale dataset and then using that pretrained model to conduct learning for another downstream task (i.e., target task).

• Deep-Learning-Adaptive-Computation-Machine

  Transfer learning and domain adaptation refer to the situation where what has been learned in one setting … is exploited to improve generalization in another setting

• Handbook of Research on Machine Learning Applications, 2009. >Transfer learning is the improvement of learning in a new task through the transfer of knowledge from a rela

svmihar

#!/usr/bin/env python
""" author: svmihar
problem source: https://www.youtube.com/watch?v=W2Nz3733mCw&lc=z222zbry0m3ogrpj404t1aokg0k1ngnhw55naycpr2chbk0h00410.1565984354643611
"""

# problem1
# adder(5)(3) --> 8
def adder(x):
    def wrapper(y):
        return x+y

svmihar

Inspired by dannyfritz/commit-message-emoji

See also gitmoji.

Commit type	Emoji
Initial commit	🎉 :tada:
Version tag	🔖 :bookmark:
New feature	✨ :sparkles:
Bugfix	🐛 :bug: