karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

azenla

var SecTrustEvaluate_handle =
    Module.findExportByName('Security', 'SecTrustEvaluate');
var SecTrustEvaluateWithError_handle =
    Module.findExportByName('Security', 'SecTrustEvaluateWithError');
var SSL_CTX_set_custom_verify_handle =
    Module.findExportByName('libboringssl.dylib', 'SSL_CTX_set_custom_verify');
var SSL_get_psk_identity_handle =
    Module.findExportByName('libboringssl.dylib', 'SSL_get_psk_identity');
var boringssl_context_set_verify_mode_handle = Module.findExportByName(
    'libboringssl.dylib', 'boringssl_context_set_verify_mode');

wangruohui

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

huyng

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

dongyuwei

Wand==0.3.7, Python 3.4.3, OSX EI Capitan 10.11

when run from wand.image import Image it throw errors:

ImportError: MagickWand shared library not found. You probably had not installed ImageMagick library. Try to install: brew install freetype imagemagick

ok, first I try this:

xnuk

이 문서가 여기저기 알려짐에 따라, 이곳에 여러가지 댓글이 달리고 있습니다. 개인적으로는 댓글창을 없애버리고 싶지만 그럴 수 없는 터라, 댓글을 달기 전에 한번씩만 더 생각해주셨으면 합니다.

• 개인적인 감상은 이곳이 아닌 다른 곳에 적어주세요.
• 동성애 혐오적인 댓글을 달지 마세요.
• 기타 "난해한 혀엉... 언어"와 관련없는 댓글을 달지 말아주세요.

위 사항들을 포함해 제 마음에 안 드는 댓글들은 임의로 삭제하고 있습니다. 양해 부탁드립니다.

---

thomwolf

def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
    """ Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
        Args:
            logits: logits distribution shape (vocabulary size)
            top_k >0: keep only top k tokens with highest probability (top-k filtering).
            top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
                Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
    """
    assert logits.dim() == 1  # batch size 1 for now - could be updated for more but the code would be less clear
    top_k = min(top_k, logits.size(-1))  # Safety check

ricardo-rossi

#!/bin/bash

### USAGE
###
### ./ElasticSearch.sh 1.7 will install Elasticsearch 1.7
### ./ElasticSearch.sh will fail because no version was specified (exit code 1)
###
### CLI options Contributed by @janpieper
### Check http://www.elasticsearch.org/download/ for latest version of ElasticSearch

zer0TF

# Got a bunch of .ckpt files to convert?
# Here's a handy script to take care of all that for you!
# Original .ckpt files are not touched!
# Make sure you have enough disk space! You are going to DOUBLE the size of your models folder!
#
# First, run:
# pip install torch torchsde==0.2.5 safetensors==0.2.5
#
# Place this file in the **SAME DIRECTORY** as all of your .ckpt files, open a command prompt for that folder, and run:
# python convert_to_safe.py

dannvix

Intercepts HTTPs Traffic with Python & mitmproxy

Warning

This Gist is created in 2014, and it's highliy outdated now, according to one of mitmproxy's manjor contributor (check his comment below). Thanks for letting us know, @mhils!

Introduction

Modern applications usually make use of back-end API servers to provide their services. With a non-transparent HTTPs proxy, which intercepts the communication between clients and servers (aka the man-in-the-middle scheme), you can easily manipulate both API requests and responses.