yuntai

"""
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)

yuntai

package main

import (
  git "github.com/libgit2/git2go"
  "log"
)

func credentialsCallback(url string, username string, allowedTypes git.CredType) (git.ErrorCode, *git.Cred) {
  ret, cred := git.NewCredSshKey("git", "/home/vagrant/.ssh/id_rsa.pub", "/home/vagrant/.ssh/id_rsa", "")
  return git.ErrorCode(ret), &cred

yuntai

import numpy as np
import sklearn.datasets
import sklearn.ensemble
import xgboost

N_TRAIN = 60000
NS_ITERATIONS = [2 ** k for k in range(8)]

MODELS = [
    ('RandomForestClassifier', sklearn.ensemble.RandomForestClassifier, {'n_jobs': -1}),