- [Lissajous Curve]
- [Movers]
- [Perlin acceleration]
- [Bouncing ball 3D]
- [Bouncing ball]
- [2D noise]
- [Perlin noise walker]
- [Exp dist]
- [Montecarlo walker]
- [Paint splatter]
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- ImageNet Classification with Deep Convolutional Neural Networks
- A Neural Probabilistic Language Model
- Human-level control through deep reinforcement learning
- Mastering the game of Go with deep neural networks ad tree search
- A general reinforcement learning algorithm that masters chess, shogi, Go through self-play
- Human-level performance in 3d multiplayer games with population-based reinforcement learning
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# Colors (Tomorrow Night Bright) | |
colors: | |
# Default colors | |
primary: | |
background: '0x282c34' | |
foreground: '0xabb2bf' | |
# Bright and dim foreground colors | |
# | |
# The dimmed foreground color is calculated automatically if it is not present. |
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import requests | |
from requests.exceptions import ConnectionError | |
with open('gi.csv', 'r') as f: | |
lineas = f.readlines() | |
urls = enumerate([linea.split(',')[0] for linea in lineas][1::]) |
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# coding: utf-8 | |
import requests | |
import datetime | |
API_KEY = '' # Get a free API KEY on https://api.nasa.gov/ | |
URL = 'https://api.nasa.gov/planetary/apod' | |
START = datetime.date(2019, 1, 1) | |
END = datetime.date.today() | |
IMGS_FOLDER = 'imgs' | |
ERROR_FILE = 'apod_errors.txt' |
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# zsh | |
set-option -g default-shell /bin/zsh | |
# color | |
set -g default-terminal "tmux-256color" | |
# counting from 1 | |
set -g base-index 1 | |
# remap prefix |
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call plug#begin('~/.vim/plugged') | |
" git | |
Plug 'tpope/vim-fugitive' | |
Plug 'mhinz/vim-signify' | |
" status line | |
Plug 'itchyny/lightline.vim' | |
" start screen |