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“Any sufficiently advanced technology is equivalent to magic.”

Dean Lofts loftwah

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“Any sufficiently advanced technology is equivalent to magic.”
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loftwah / gist:1808f353deeed891a649aa685ad7eda1
Created December 22, 2021 08:20 — forked from why-not/gist:4582705
Pandas recipe. I find pandas indexing counter intuitive, perhaps my intuitions were shaped by many years in the imperative world. I am collecting some recipes to do things quickly in pandas & to jog my memory.
"""making a dataframe"""
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
"""quick way to create an interesting data frame to try things out"""
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])
"""convert a dictionary into a DataFrame"""
"""make the keys into columns"""
df = pd.DataFrame(dic, index=[0])
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loftwah / pullJSON.js
Created December 22, 2021 08:20 — forked from varun-raj/pullJSON.js
Google App Script To Fetch Data From JSON Webservice and Write them to google spreadsheet.
function pullJSON() {
var ss = SpreadsheetApp.getActiveSpreadsheet();
var sheets = ss.getSheets();
var sheet = ss.getActiveSheet();
var url="http://example.com/feeds?type=json"; // Paste your JSON URL here
var response = UrlFetchApp.fetch(url); // get feed
var dataAll = JSON.parse(response.getContentText()); //
@loftwah
loftwah / dnn.py
Created December 22, 2021 08:20 — forked from syhw/dnn.py
A simple deep neural network with or w/o dropout in one file.
"""
A deep neural network with or w/o dropout in one file.
License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""
import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams
@loftwah
loftwah / gist:9f0d3574b3e72f3f2ea2ac39fccd330b
Created December 22, 2021 08:20 — forked from entaroadun/gist:1653794
Recommendation and Ratings Public Data Sets For Machine Learning

Movies Recommendation:

Music Recommendation:

@loftwah
loftwah / data_loader.py
Created December 22, 2021 08:20 — forked from kevinzakka/data_loader.py
Train, Validation and Test Split for torchvision Datasets
"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.
[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""
import torch
import numpy as np
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loftwah / tensorflow_finetune.py
Created December 22, 2021 08:20 — forked from omoindrot/tensorflow_finetune.py
Example TensorFlow script for fine-tuning a VGG model (uses tf.contrib.data)
"""
Example TensorFlow script for finetuning a VGG model on your own data.
Uses tf.contrib.data module which is in release v1.2
Based on PyTorch example from Justin Johnson
(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c)
Required packages: tensorflow (v1.2)
Download the weights trained on ImageNet for VGG:
```
wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz
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loftwah / index.html
Created December 22, 2021 08:20 — forked from gaearon/index.html
Multiple React components on a single HTML page
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<title>Add React in One Minute</title>
</head>
<body>
<h2>Add React in One Minute</h2>
<p>This page demonstrates using React with no build tooling.</p>
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loftwah / Rust Optimization.md
Created December 22, 2021 08:19 — forked from jFransham/Rust Optimization.md
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loftwah / docker-cleanup
Created December 21, 2021 22:52 — forked from wdullaer/docker-cleanup
Cleanup unused Docker images and containers
#!/bin/sh
# Cleanup docker files: untagged containers and images.
#
# Use `docker-cleanup -n` for a dry run to see what would be deleted.
untagged_containers() {
# Print containers using untagged images: $1 is used with awk's print: 0=line, 1=column 1.
# NOTE: "[0-9a-f]{12}" does not work with GNU Awk 3.1.7 (RHEL6).
# Ref: https://github.com/blueyed/dotfiles/commit/a14f0b4b#commitcomment-6736470
docker ps -a | tail -n +2 | awk '$2 ~ "^[0-9a-f]+$" {print $'$1'}'
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loftwah / XpSerials.txt
Created December 13, 2021 00:21 — forked from denizssch/XpSerials.txt
Windows XP ALL Serial Keys :) (For testing purpose [Ex: VM or PenTest])
FCKGW-RHQQ2-YXRKT-8TG6W-2B7Q8
Windows XP PRO Corporate serial number S/N: Key: MQPWW-PGVKX-YPMKG-8DH3G-KC8PW
windows xp home edition serial number S/N: 034634-262024-171505-828316-729010-413531-800424-400442
Windows XP 64 serial number S/N: B2RBK-7KPT9-4JP6X-QQFWM-PJD6G
Windows XP serial number S/N: K6C2K-KY62K-DQR84-RD4QV-QB74Q
Windows XP Professional 64-bit Corporate Edition 5.2.3790.1830 serial number S/N: VCFQD-V9FX9-46WVH-K3CD4-4J3JM
Microsoft Windows XP Professional SP2 serial number S/N: YY8F2-3CKVQ-RKTRG-6JMDR-9DTG6
Windows XP Professional Service Pack 1 sp1 serial number S/N: F46YY - 2R8VQ - R8GMY - 926VK - 6BQ73
Windows XP Pro serial number S/N: KBWR7-76BD8-J7MDQ-KKG&C-V9Q2J