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kill $(ps aux | grep './ngrok' | awk '{print $2}')
perl -pi -e 's|execution_count": null|execution_count": 1|g' course-v4/nbs/*ipynb
nohup jupyter notebook --no-browser --allow-root --ip=0.0.0.0&
git clone 'https://github.com/fastai/course-v4.git'
echo Setting up server...
curl -sL https://deb.nodesource.com/setup_10.x | sudo -E bash -q
sudo apt-get install -y nodejs -q
pip install jupyter jupyterlab --upgrade -q
pip install jupyter_contrib_nbextensions && jupyter contrib nbextension install -q
pip install -r /content/course-v4/requirements.txt -q
wget -q -c -nc https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
unzip -qq -n ngrok-stable-linux-amd64.zip
@bharadwaj6
bharadwaj6 / metastream_server.py
Last active February 26, 2020 16:23
Python streaming server to metastream your local videos with friends and family (https://getmetastream.com/)
from starlette.applications import Starlette
from starlette.responses import StreamingResponse, HTMLResponse
from starlette.routing import Route
from pathlib import Path
VIDEO_PATH = Path('videos')
def stream(request):
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@bharadwaj6
bharadwaj6 / Telugu_Language_Model.ipynb
Created May 25, 2018 21:27
Telugu_Language_Model
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@bharadwaj6
bharadwaj6 / animal-recognition.ipynb
Last active November 14, 2019 07:29
animal multi label classification (0.9607)
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@bharadwaj6
bharadwaj6 / tsp_heuristic.py
Created August 2, 2017 21:11
Travelling Salesman tour for ~33k cities with heuristic approximation - stanford algorithms thingy
INF = 10 ** 9
class City(object):
__slots__ = ('city_id', 'x', 'y')
def __init__(self, city_id, x, y):
self.city_id = int(city_id)
self.x = x
self.y = y
@bharadwaj6
bharadwaj6 / heaps.py
Created June 3, 2017 06:56
To calculate running median given a huge list of numbers
from heapq import heappop, heappush
class MinHeap(object):
def __init__(self):
self._items = []
def push(self, item):
heappush(self._items, item)