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@akki2825
akki2825 / ndw.html
Created September 12, 2024 11:16
This file has been truncated, but you can view the full file.
<!DOCTYPE html>
<html class="sl-root decks export loaded ua-phantomjs>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
<title>Virtual Booth 2024: Slides</title>
<meta name="description" content="Slides">
<style>/*! normalize.css v2.1.0 | MIT License | git.io/normalize */@import url("https://static.slid.es/fonts/v3/montserrat/montserrat.css");@import url("https://static.slid.es/fonts/v3/opensans/opensans.css");@import url("https://static.slid.es/fonts/v3/lato/lato.css");@import url("https://static.slid.es/fonts/v3/asul/asul.css");@import url("https://static.slid.es/fonts/v3/josefinsans/josefinsans.css");@import url("https://static.slid.es/fonts/v3/league/league_gothic.css");@import url("https://static.slid.es/fonts/v3/merriweathersans/merriweathersans.css");@import url("https://static.slid.es/fonts/v3/overpass/overpass.css");@import url("https://static.slid.es/fonts/v3/overpass2/ove
@akki2825
akki2825 / mfa_dockerfile
Last active March 2, 2024 19:50
mfa_dockerfile
## This is a Dockerfile that installs MFA v1.0.1
FROM ubuntu:18.04
RUN apt update
RUN apt install software-properties-common -y
RUN add-apt-repository ppa:deadsnakes/ppa
RUN apt install python3.6 -y
RUN apt install wget -y
RUN echo "deb http://gb.archive.ubuntu.com/ubuntu/ bionic main universe" >> /etc/apt/sources.list
RUN apt install g++-6 -y
@akki2825
akki2825 / install_py3_aeneas_mac.sh
Last active December 7, 2021 02:13
#!/bin/sh
# Aeneas (python3.6+) installation that works only for MacOS.
echo "Cloning the py3-aeneas repository..."
git clone https://github.com/akki2825/aeneas
cd aeneas/
echo "Installing system dependencies..."
brew install python3
@akki2825
akki2825 / install_py3_aeneas.sh
Last active December 7, 2021 01:47
#!/bin/sh
# Aeneas (python3.6+) installation that works only for Debian distros (including WSL with Ubuntu)
echo "Updating OS..."
sudo apt-get update
sudo apt-get upgrade
echo "Cloning py3-aeneas..."
git clone https://github.com/akki2825/aeneas
@akki2825
akki2825 / run.sh
Created February 15, 2020 18:08
openedx installation
#!/bin/bash
sudo systemctl start docker
echo "Docker is running!"
sudo make dev.checkout
sudo make dev.clone
sudo make dev.provision
echo "Updating devstack, sit back and enjoy!"
@akki2825
akki2825 / min-char-rnn.py
Created February 1, 2017 08:59 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
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)
@akki2825
akki2825 / knn_tensorflow
Created January 28, 2017 15:12
from __future__ import print_function
import numpy as np
import tensorflow as tf
# Import MNIST data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)
# In this example, we limit mnist data
@akki2825
akki2825 / logistic_regression_tensorflow
Last active January 28, 2017 15:09
from __future__ import print_function
import tensorflow as tf
# Import MNIST data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)
# Parameters
learning_rate = 0.01
@akki2825
akki2825 / linear_regression_tensorflow
Last active January 28, 2017 13:36
from __future__ import print_function
import tensorflow as tf
import numpy
import matplotlib.pyplot as plt
import random
#parameters
learning_rate = 0.01
training_epochs = 1000
display_step = 50
@akki2825
akki2825 / basic_operations_tensorflow
Created January 28, 2017 11:04
from __future__ import print_function
import tensorflow as tf
a= tf.constant(2)
b = tf.constant(3)
with tf.Session() as sess:
print("a=2, b=3")
print("Addition with constants: %i" % sess.run(a+b))
print("Multiplication with constants: %i" % sess.run(a*b))