kmhofmann

Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

• NVIDIA graphics card driver (v450.57)
• CUDA (v11.0.2)
• cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

onecrayon

[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true

[dev-packages]
pylint = "*"

[packages]
sqlalchemy = "*"

francbartoli

# From @euri10 -- https://gitter.im/tiangolo/fastapi?at=5cd915ed56271260f95275ac

import asyncio

import pytest
from sqlalchemy import create_engine
from sqlalchemy_utils import create_database, database_exists, drop_database
from starlette.config import environ
from starlette.testclient import TestClient

Integralist

Disable all linting across the entire file:

# pylint: disable-all (older)
# pylint: skip-file   (newer)
# flake8: noqa

Disable specific linting errors across the entire file:

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

zhujunsan

What / Why

Deploy key is a SSH key set in your repo to grant client read-only (as well as r/w, if you want) access to your repo.

As the name says, its primary function is to be used in the deploy process in replace of username/password, where only read access is needed. Therefore keep the repo safe from the attack, in case the server side is fallen.

How to

1. Generate a ssh key

geohot

# extract ILSVRC2012 without killing your SSD

import tarfile
import os
import sys

def mkdir(x):
  try:
    os.makedirs(x)
  except OSError, e: