A Pen by Sonya Moisset on CodePen.
Saumil Shah hellosaumil
ernestkamara
/ AdbCommands
Created
June 26, 2018 08:42
— forked from Pulimet/AdbCommands
Adb useful commands list
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| == Adb Server | |
| adb kill-server | |
| adb start-server | |
| == Adb Reboot | |
| adb reboot | |
| adb reboot recovery | |
| adb reboot-bootloader | |
| == Shell |
maraoz
/ gist:388eddec39d60c6d52d4
Created
February 20, 2016 22:03
Imagenet output tensor index to label mapping
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| { | |
| 0: 'tench, Tinca tinca', | |
| 1: 'goldfish, Carassius auratus', | |
| 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias', | |
| 3: 'tiger shark, Galeocerdo cuvieri', | |
| 4: 'hammerhead, hammerhead shark', | |
| 5: 'electric ray, crampfish, numbfish, torpedo', | |
| 6: 'stingray', | |
| 7: 'cock', | |
| 8: 'hen', |
SonyaMoisset
/ MOVE | Codecademy | My solution.markdown
Created
August 17, 2015 11:17
MOVE | Codecademy | My solution
SonyaMoisset
/ Innovation Cloud | Codecademy | My solution.markdown
Created
August 17, 2015 05:15
Innovation Cloud | Codecademy | My solution
A Pen by Sonya Moisset on CodePen.
SonyaMoisset
/ Broadway | Codecademy | My solution.markdown
Created
August 17, 2015 04:21
Broadway | Codecademy | My solution
A Pen by Sonya Moisset on CodePen.
karpathy
/ min-char-rnn.py
Last active
May 19, 2025 10:44
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| 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) |
tsiege
/ The Technical Interview Cheat Sheet.md
Last active
May 14, 2025 04:34
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
\