Diliara Nurtdinova nurtdinovadf

snakers4 / Dockerfile

Created July 3, 2018 07:13

My PyTorch 0.4 Dockerfile

	# add 7z tar and zip archivers
	FROM nvidia/cuda:9.0-cudnn7-devel

	# https://docs.docker.com/engine/examples/running_ssh_service/
	RUN apt-get update && apt-get install -y openssh-server
	RUN mkdir /var/run/sshd
	RUN echo 'root:Ubuntu@41' \| chpasswd
	RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config
	RUN sed -i 's/#PasswordAuthentication yes/PasswordAuthentication no/' /etc/ssh/sshd_config
	RUN mkdir ~/.ssh/

snakers4 / abstractions.py

Last active May 27, 2022 07:12

My XGB boilerplate

	# https://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/
	#Import libraries:
	import pandas as pd
	import numpy as np
	import xgboost as xgb
	from xgboost.sklearn import XGBClassifier
	from sklearn import cross_validation, metrics #Additional scklearn functions
	from sklearn.grid_search import GridSearchCV #Perforing grid search

	import matplotlib.pylab as plt

snakers4 / useful bash server commands

Last active April 23, 2017 08:02

	# update reps
	sudo apt-get update
	# installation of the key software

	# SOFTWARE
	# server monitoring tool
	sudo apt-get install glances
	# just invoke glances to monitor the system

	# FIREWALL

panovr / finetune.py

Created March 2, 2017 23:04

Fine-tuning pre-trained models with PyTorch

	import argparse
	import os
	import shutil
	import time

	import torch
	import torch.nn as nn
	import torch.nn.parallel
	import torch.backends.cudnn as cudnn
	import torch.optim