fonnesbeck

import numpy as np
import pymc
import pdb

def unconditionalProbability(Ptrans):
   """Compute the unconditional probability for the states of a
   Markov chain."""

   m = Ptrans.shape[0]

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

douglas-vaz

#include <iostream>
#include <string>
#include <vector>
#include <queue>
#include <stack>
#include <algorithm>

using namespace std;

class Node{

kodekracker

/*
* Note: This template uses some c++11 functions , so you have to compile it with c++11 flag.
*       Example:-   $ g++ -std=c++11 c++Template.cpp
*
* Author : Akshay Pratap Singh
* Handle: code_crack_01
*
*/
 
/********   All Required Header Files ********/

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)

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

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

fredcallaway

#!/usr/bin/env python
"""Hidden Markov Models

Abstract base class for HMMs and an implementation of an HMM
with discrete states and gaussian emissions.
"""

import tensorflow as tf
import edward as ed
from edward.models import Bernoulli, Categorical, Normal

whizzzkid

# Instructions for 4.14 and cuda 9.1
# If upgrading from 4.13 and cuda 9.0
$ sudo apt-get purge --auto-remove libcud*
$ sudo apt-get purge --auto-remove cuda*
$ sudo apt-get purge --auto-remove nvidia*
# also remove the container directory direcotory at /usr/local/cuda-9.0/

# Important libs required with 4.14.x with Cuda 9.X
$ sudo apt install libelf1 libelf-dev

MaximumEntropy

import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence

x = Variable(torch.randn(10, 20, 30)).cuda()
lens = range(10)

x = pack_padded_sequence(x, lens[::-1], batch_first=True)