loiseaujc

ines

pip install streamlit
pip install spacy
python -m spacy download en_core_web_sm
python -m spacy download en_core_web_md
python -m spacy download de_core_news_sm

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

W4ngatang

''' Script for downloading all GLUE data.

Note: for legal reasons, we are unable to host MRPC.
You can either use the version hosted by the SentEval team, which is already tokenized, 
or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually.
For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example).
You should then rename and place specific files in a folder (see below for an example).

mkdir MRPC
cabextract MSRParaphraseCorpus.msi -d MRPC

dfeich

(defun dfeich/ansi-terminal (&optional path name)
  "Opens an ansi terminal at PATH. If no PATH is given, it uses
the value of `default-directory'. PATH may be a tramp remote path.
The ansi-term buffer is named based on `name' "
  (interactive)
  (unless path (setq path default-directory))
  (unless name (setq name "ansi-term"))
  (ansi-term "/bin/bash" name)
  (let ((path (replace-regexp-in-string "^file:" "" path))
	(cd-str

enzinier

#!/bin/sh
# Userland mode (~$USER/), (~/).

# ~/.fonts is now deprecated and that
#FONT_HOME=~/.fonts
# ~/.local/share/fonts should be used instead
FONT_HOME=~/.local/share/fonts

echo "installing fonts at $PWD to $FONT_HOME"
mkdir -p "$FONT_HOME/adobe-fonts/source-code-pro"

mafrasi2

/*
 * Compile with -lxcb -lxcb-randr
 */

#include <stdio.h>
#include <stdlib.h>
#include <xcb/xcb.h>
#include <xcb/randr.h>

int main() {

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

lukas-h

Markdown License badges

Collection of License badges for your Project's README file.
This list includes the most common open source and open data licenses.
Easily copy and paste the code under the badges into your Markdown files.

Notes

• The badges do not fully replace the license informations for your projects, they are only emblems for the README, that the user can see the License at first glance.

Translations: (No guarantee that the translations are up-to-date)

• 🇫🇷 Cette liste en français

christopherdro

/**
 * @providesModule PatientList
 */
import NavigationBar from 'react-native-navbar';
import NavigationButtons from 'NavigationButtons';
import React, { ListView, Navigator, StyleSheet, Text, TextInput, TouchableHighlight, View } from 'react-native';
import { connect } from 'react-redux/native'

@connect(state => ({
  patients: state.patients