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.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# 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 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/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 |
Picking the right architecture = Picking the right battles + Managing trade-offs
- 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?
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
""" | |
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) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
/* | |
* 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 ********/ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#include <iostream> | |
#include <string> | |
#include <vector> | |
#include <queue> | |
#include <stack> | |
#include <algorithm> | |
using namespace std; | |
class Node{ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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] |
NewerOlder