| 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 |
| 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 |
| ''' 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 |
| (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 |
| #!/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" |
| /* | |
| * Compile with -lxcb -lxcb-randr | |
| */ | |
| #include <stdio.h> | |
| #include <stdlib.h> | |
| #include <xcb/xcb.h> | |
| #include <xcb/randr.h> | |
| int main() { |
| """ 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 |
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.
Translations: (No guarantee that the translations are up-to-date)
| /** | |
| * @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 |
